{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Time Series Forecast Model"
      ],
      "metadata": {
        "nteract": {
          "transient": {
            "deleting": false
          }
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "\n",
        "# yahoo finance is used to fetch data \n",
        "import yfinance as yf\n",
        "yf.pdr_override()"
      ],
      "outputs": [],
      "execution_count": 1,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2021-09-19T01:14:58.323Z",
          "iopub.execute_input": "2021-09-19T01:14:58.327Z",
          "iopub.status.idle": "2021-09-19T01:14:58.764Z",
          "shell.execute_reply": "2021-09-19T01:14:58.758Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# input\n",
        "symbol = 'AMD'\n",
        "start = '2014-01-01'\n",
        "end = '2018-08-27'\n",
        "\n",
        "# Read data \n",
        "dataset = yf.download(symbol,start,end)\n",
        "\n",
        "# View Columns\n",
        "dataset.head()"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[*********************100%***********************]  1 of 1 completed\n"
          ]
        },
        {
          "output_type": "execute_result",
          "execution_count": 2,
          "data": {
            "text/plain": "            Open  High   Low  Close  Adj Close    Volume\nDate                                                    \n2014-01-02  3.85  3.98  3.84   3.95       3.95  20548400\n2014-01-03  3.98  4.00  3.88   4.00       4.00  22887200\n2014-01-06  4.01  4.18  3.99   4.13       4.13  42398300\n2014-01-07  4.19  4.25  4.11   4.18       4.18  42932100\n2014-01-08  4.23  4.26  4.14   4.18       4.18  30678700",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Open</th>\n      <th>High</th>\n      <th>Low</th>\n      <th>Close</th>\n      <th>Adj Close</th>\n      <th>Volume</th>\n    </tr>\n    <tr>\n      <th>Date</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2014-01-02</th>\n      <td>3.85</td>\n      <td>3.98</td>\n      <td>3.84</td>\n      <td>3.95</td>\n      <td>3.95</td>\n      <td>20548400</td>\n    </tr>\n    <tr>\n      <th>2014-01-03</th>\n      <td>3.98</td>\n      <td>4.00</td>\n      <td>3.88</td>\n      <td>4.00</td>\n      <td>4.00</td>\n      <td>22887200</td>\n    </tr>\n    <tr>\n      <th>2014-01-06</th>\n      <td>4.01</td>\n      <td>4.18</td>\n      <td>3.99</td>\n      <td>4.13</td>\n      <td>4.13</td>\n      <td>42398300</td>\n    </tr>\n    <tr>\n      <th>2014-01-07</th>\n      <td>4.19</td>\n      <td>4.25</td>\n      <td>4.11</td>\n      <td>4.18</td>\n      <td>4.18</td>\n      <td>42932100</td>\n    </tr>\n    <tr>\n      <th>2014-01-08</th>\n      <td>4.23</td>\n      <td>4.26</td>\n      <td>4.14</td>\n      <td>4.18</td>\n      <td>4.18</td>\n      <td>30678700</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 2,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2021-09-19T01:14:58.769Z",
          "iopub.execute_input": "2021-09-19T01:14:58.772Z",
          "iopub.status.idle": "2021-09-19T01:14:59.498Z",
          "shell.execute_reply": "2021-09-19T01:14:59.538Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "dataset.tail()"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 3,
          "data": {
            "text/plain": "                 Open   High        Low      Close  Adj Close     Volume\nDate                                                                    \n2018-08-20  19.790001  20.08  19.350000  19.980000  19.980000   62983200\n2018-08-21  19.980000  20.42  19.860001  20.400000  20.400000   55629000\n2018-08-22  20.280001  20.92  20.209999  20.900000  20.900000   62002700\n2018-08-23  21.190001  22.32  21.139999  22.290001  22.290001  113444100\n2018-08-24  22.910000  24.00  22.670000  23.980000  23.980000  164328200",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Open</th>\n      <th>High</th>\n      <th>Low</th>\n      <th>Close</th>\n      <th>Adj Close</th>\n      <th>Volume</th>\n    </tr>\n    <tr>\n      <th>Date</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2018-08-20</th>\n      <td>19.790001</td>\n      <td>20.08</td>\n      <td>19.350000</td>\n      <td>19.980000</td>\n      <td>19.980000</td>\n      <td>62983200</td>\n    </tr>\n    <tr>\n      <th>2018-08-21</th>\n      <td>19.980000</td>\n      <td>20.42</td>\n      <td>19.860001</td>\n      <td>20.400000</td>\n      <td>20.400000</td>\n      <td>55629000</td>\n    </tr>\n    <tr>\n      <th>2018-08-22</th>\n      <td>20.280001</td>\n      <td>20.92</td>\n      <td>20.209999</td>\n      <td>20.900000</td>\n      <td>20.900000</td>\n      <td>62002700</td>\n    </tr>\n    <tr>\n      <th>2018-08-23</th>\n      <td>21.190001</td>\n      <td>22.32</td>\n      <td>21.139999</td>\n      <td>22.290001</td>\n      <td>22.290001</td>\n      <td>113444100</td>\n    </tr>\n    <tr>\n      <th>2018-08-24</th>\n      <td>22.910000</td>\n      <td>24.00</td>\n      <td>22.670000</td>\n      <td>23.980000</td>\n      <td>23.980000</td>\n      <td>164328200</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 3,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2021-09-19T01:14:59.503Z",
          "iopub.execute_input": "2021-09-19T01:14:59.507Z",
          "iopub.status.idle": "2021-09-19T01:14:59.515Z",
          "shell.execute_reply": "2021-09-19T01:14:59.542Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "close = dataset['Adj Close']"
      ],
      "outputs": [],
      "execution_count": 8,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2021-09-19T01:15:37.348Z",
          "iopub.execute_input": "2021-09-19T01:15:37.351Z",
          "iopub.status.idle": "2021-09-19T01:15:37.357Z",
          "shell.execute_reply": "2021-09-19T01:15:37.363Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from statsmodels.tsa.ar_model import AutoReg\n",
        "from sklearn.metrics import mean_squared_error"
      ],
      "outputs": [],
      "execution_count": 4,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2021-09-19T01:14:59.519Z",
          "iopub.execute_input": "2021-09-19T01:14:59.522Z",
          "shell.execute_reply": "2021-09-19T01:14:59.819Z",
          "iopub.status.idle": "2021-09-19T01:14:59.825Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def difference(dataset):\n",
        "\tdiff = list()\n",
        "\tfor i in range(1, len(dataset)):\n",
        "\t\tvalue = dataset[i] - dataset[i - 1]\n",
        "\t\tdiff.append(value)\n",
        "\treturn np.array(diff)"
      ],
      "outputs": [],
      "execution_count": 5,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2021-09-19T01:14:59.830Z",
          "iopub.execute_input": "2021-09-19T01:14:59.832Z",
          "iopub.status.idle": "2021-09-19T01:14:59.837Z",
          "shell.execute_reply": "2021-09-19T01:14:59.866Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def predict(coef, dataset):\n",
        "\tyhat = coef[0]\n",
        "\tfor i in range(1, len(coef)):\n",
        "\t\tyhat += coef[i] * dataset[-i]\n",
        "\treturn yhat"
      ],
      "outputs": [],
      "execution_count": 6,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2021-09-19T01:14:59.842Z",
          "iopub.execute_input": "2021-09-19T01:14:59.846Z",
          "iopub.status.idle": "2021-09-19T01:14:59.850Z",
          "shell.execute_reply": "2021-09-19T01:14:59.868Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X = difference(close.values)\n",
        "size = int(len(X) * 0.20)\n",
        "train, test = X[0:size], X[size:]\n",
        "# train autoregression\n",
        "window = 6\n",
        "model = AutoReg(train, lags=6)\n",
        "model_fit = model.fit()\n",
        "coef = model_fit.params\n",
        "# walk forward over time steps in test\n",
        "history = [train[i] for i in range(len(train))]\n",
        "predictions = list()\n",
        "for t in range(len(test)):\n",
        "\tyhat = predict(coef, history)\n",
        "\tobs = test[t]\n",
        "\tpredictions.append(yhat)\n",
        "\thistory.append(obs)\n",
        "rmse = np.sqrt(mean_squared_error(test, predictions))"
      ],
      "outputs": [],
      "execution_count": 22,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2021-09-19T01:19:56.631Z",
          "iopub.execute_input": "2021-09-19T01:19:56.635Z",
          "iopub.status.idle": "2021-09-19T01:19:56.642Z",
          "shell.execute_reply": "2021-09-19T01:19:56.648Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print('Test RMSE: %.3f' % rmse)"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test RMSE: 0.342\n"
          ]
        }
      ],
      "execution_count": 23,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2021-09-19T01:19:57.806Z",
          "iopub.execute_input": "2021-09-19T01:19:57.815Z",
          "iopub.status.idle": "2021-09-19T01:19:57.868Z",
          "shell.execute_reply": "2021-09-19T01:19:57.876Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(16,12))\n",
        "plt.plot(test)\n",
        "plt.plot(predictions, color='red')\n",
        "plt.title('Prediction vs Actual Closing Price')\n",
        "plt.legend(['Test', 'Predictions'])\n",
        "plt.show()"
      ],
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1152x864 with 1 Axes>",
            "image/png": 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ubNu2DcuWLQNgZ1+JiIiIiIg6ETOkmomJCcydOxfz5s3DK17xClx00UUAgBNOOAFvetObAABPPfUUVqxYgbe85S2YO3cubrrpJmzatAmrVq3CK1/5Spx00kkQQuBv/uZvQtfx0EMP4R/+4R8A2GNWDzvssNhtWrBgAS644AIAwCmnnIITTjjBDUjf8Y534LDDDsOMGTPw2te+Fps2bcLv/u7vYv369fjkJz+Je++9F4ceemgux4aIiIiIiJp3//KdeHr9UNGb0XE6M0OaMpOZNzWGNGj27Nnuv6WUeOc734lbbrnF95glS5ZACJH7NkkpI383ODjo/rtarcIwDBxxxBFYunQp7rvvPlx11VW47bbbcMMNN+S+XURERERElN7FP1kEANh42TkFb0lnYYY0oze96U14/PHHsXbtWgDA+Pg41qxZg1NOOQUbNmzAunXrAKAhYFXe8Y534Ac/+AEAe7zn8PAw5syZg5GRkdDH/8mf/AluvvlmAMCaNWuwefNmnHzyyZHbt3fvXliWhQ984AP46le/iueee67pfSUiIiIiImonBqQZHXXUUbjxxhvxoQ99CK973evwpje9CatWrcKMGTNw7bXX4pxzzsEZZ5yBE044IfT53//+9/Hwww/jtNNOwx/8wR9g+fLlOPLII/GWt7wFp556Kj7/+c/7Hv/xj38cpmnitNNOw/nnn48bb7zRlxkN2rZtG97+9rdj7ty5+MhHPoJvfvObue4/ERERERFRXkRcSWi7zJs3Ty5cuND3s5UrV+I1r3nNtG9LL+KxJiIiIiKaXideeg+A3inZFUIsklLOS3ocM6RERERERERUCAakREREREREVIiOCkiLKB/uNTzGRERERETUKTomIJ0xYwaGhoYYMLWRlBJDQ0OYMWNG0ZtCRERERETUOfOQHn/88di6dSv27NlT9KaU2owZM3D88ccXvRlERERERESdE5D29/fjla98ZdGbQURERERERNOkY0p2iYiIiIiIqLcwICUiIiIiIqJCMCAlIiIiIiKiQjAgJSIiIiIiokIwICUiIiIiIqJCMCAlIiIiIiKiQjAgJSIiIiIiokIwICUiIiIiIqJCMCAlIiIiIiKiQjAgJSIiIiIiokIwICUiIiIiIqJCMCAlIiIiIiKiQjAgJSIiIiIiokIwICUiIiIiIqJCMCAlIiIiIiKiQjAgJSIiIiIiokIwICUiIiIiIqJCMCAlIiIiIiKiQjAgJSIiIiIiokK0HJAKIV4uhHhYCLFSCLFcCPHpPDaMiIiIiIiIyq0vh2UYAP5JSvmcEGIOgEVCiN9IKVfksGwiIiIiIiIqqZYzpFLKHVLK55x/jwBYCeC4VpdLRERERERE5ZbrGFIhxIkA3gDg6ZDfXSyEWCiEWLhnz548V0tERERERERdKLeAVAhxCIA7AHxGSjkc/L2U8lop5Twp5byjjjoqr9USERERERFRl8olIBVC9MMORm+WUv48j2USERERERFRueXRZVcAuB7ASinl5a1vEhEREREREfWCPDKkbwFwAYA/E0Iscf47O4flEhERERERUYm1PO2LlHIBAJHDthAREREREVEPybXLLhEREREREVFaDEiJiIiIiIioEAxIiYiIiIiIqBAMSImIiIiIiKgQDEiJiIiIiIioEAxIiYiIiIiIqBAMSImIiIiIiKgQDEiJiIiIiIioEAxIiYiIiIiIqBAMSImIiIiIiKgQDEiJiIiIiIioEAxIiYiIiIiIqBAMSImIiIiIiKgQDEiJiIiIiIioEAxIiYiIiIiIqBAMSImIiIiIiKgQDEiJiIiIiIioEAxIiYiIiIiI2khKWfQmdCwGpERERERERFQIBqRERERERERtxARpNAakREREREREbcR4NBoDUiIiIiIiojbiGNJoDEiJiIiIiIjaiOFoNAakREREREREbcQEaTQGpERERERERG0kmSONxICUiIiIiIioS9QMC4ZpFb0ZuWFASkRERG1zw4IN+PANzxS9GUREhcqzZPerv1qBeV9/IL8FFowBKREREbXNml0jWL59uOjNICLqGK123K0ZFgaq5QnjyrMnRERE1HHs6y6OnSKi3qbHoK1mS2umhYG+8oRx5dkTIiIi6jgSEhbjUSLqcXpTo1bfEmsGA1IiIiKiVKTkhPBERP4MaWvviVMs2SUiIiJKRwLMkBJRz5MR/25GzbQwyAwpERERUTJmSImI/KyWmxqZLNklIiIiSkNyOngiIt+NuZabGnEMKREREVFKMt/594iIulGeb4M1k2NIiYiIiFKRYMkuEVGu074wQ0pERESUjiU57QsRkZ4ibXUggx2QVlvcoM7BgJSIiIjaRsrWL76IiLqd/j7Y6k26Gqd9ISIiIkqH074QEeU7D2nNZMkuERERUSrSTpESEZGj1bfEKYPzkBIRERGlIsGSXSIi/V2w1aZGdWZIiYiIiFKSLNklIvLPQ5pDUyOOISUiIiJKJiE57QsR9by8MqSGacGSYIaUiIiIKA3JDCkRkb+pUQvLqZkWAAakRERERKmoizBmSYmol+lj6Vt5P6wZTkDKkl0iIiKiZOoijPEoEfU07T2wlaoRNyBlhpSIiIgomZshLXYziIg6Riudx6cYkBIRERGlZ7Fkl4jIH4K2kiF1xpByHlIiIiKiVOwrLzY2IqJelltTI44hJSIiIkrPK9llREpEvcvf1Kj55XAMKREREVEG6rqLFbtE1Mukr6lRC112Oe0LERERUXpq7CgDUiLqZTLi31mxZJeIiIgoA3Xh1UpGgIio2+mN3XKZh5QZUiIiIqJknPaFiMivlftznPaFiIiIKANvDClDUiLqXb4uu5z2xac8e0JEREQdRwWinPaFiMjWStdxbwxpNa/NKRwDUiIiImo/BqRE1MNyy5CyZJeIiIgoPXXhZUmJXcOTmDLMYjeIiKgAvnlIW1hOzXkPZUBKRERElIK6CJMA3vW9R/HfT20udoOIiAqQ1zykddN+bn9VtLpJHYMBKRFRlzJMC4bT3ICoU1nOKWpJiQPjdRwYrxW7QUREBfDNQ9pCitR0ntxXKU8YV549ISLqMZfc/jw+8z9Lit4MolgqQ6oyAmy2S0TU/Buhei8V5UmQoq/oDSAiouZsPzgBw+TVPXU2dwypliklIuo1+tRXrbwNWk7L8kqJIlJmSImIupQl2biUOp86R1WZGc9ZIupF+ntfK9NgqedWKwxIiYioaNJ/x5WoI7kZUpbs5uGBFbtw4qX3YGSyXvSmEFEGvmlfcijZLVE8yoCUiKhbyZY+0oimhzpLTRWQ9shZO1Ez8eZvPojH1+7Ndbnff/BFAMCGvWO5LpeoUzyyejcu/vHCojejDfIt2RUs2SUioqJZktkm6nzqHFUluz0Sj+LF3SPYfnASl81flety3YYmKM/FKJHuuU37cf+KXaWrAPJlSFss2S1TuS7AgJSIqGtJ2Su5Jupm6hxVd/V7pamR2s12JTFKlBwh8lHvEGV7q/BN+9LCp7cpZanKdQEGpEREXcviGFLqAuocNXts2pd27WavHD/qXW5n7hKf7K1lSGWpynUBBqRERF1Lghen1PncLrvuGNLeIN3S2nyVcQ5CIp03d3HBG5KzvEp2pQSqJXsDYEBKRNSl7JLdkn1iU+m4Q0cDX8tO7Wa7MhkcQ0plpQLRsn2+6fvTUsmuxZJdIiLqEJJNjagLuCW7PdZlV7Ypk9nusalERSvrzav8mhpJVEoWkTIgJSLqUpaUpfvApvJxS3Z7bAypkvdlowroGZBSWXklu+V6s9B3p5V9kxKolOwNgAEpEVGXkrJ3xuNR93IblKgMackuMqN4mcx8LxzLmj0icpX0HPeX7DaPJbtERNQx7KZGJfvEptJRF2G91tRIjYPLP0Oqlt8rR5J6TVnP8TxLdjkPKRERdQQGo9QN1GnaayW77RpDqi7SLSvf5RJ1Cm/O4oI3pK2a3zlLtq9ZWlH6it4AIiJqTq9c2FN380p2na89duK2qxturx1H6h2y4R/l00qwbbFkl4iIOoXFaV+oCzQ0NSpuU6aVu59tqtllQEplJUt6judasssMKRERdQLp/h9R55JuiWlvleyqi+n2jSHNecFEHaK0XXb1pkYt7BtLdomIqGNYUrapGJAof6YbQZXrIjNSm+YLtdyxuD1yHKnnuJ2ki92M3PkypC0sx56HtOXN6Sgl2x0ioh7CaV+oCwTL73oljlK72a4xpCZTpFRSblVFyd4s9L1hya4fA1Iioi5lcSJS6gLB8ruyXWRGkW3KkHoBfr7LJeoUbi1Fyc5xvaqhlQoHex5SBqRERNQBJBiPUudzp32x/N+XnQrEWbJLlI1bslviU7yVXZMy//eVonEMKRFRl7ITpCX+xKZSUAFUz3XZVRnSnEt2mSGlsitrNUWuJbslm/eFGVIioi5lT/tC1NncrrA91mXXHUPaputGs1cOJPUcr5N0uc5xf1MjluzqGJASEXUpKXvn4p66mFuyqzKkvXHSutO+5HzhWNaGL0RKeUt2vR1qpcLBkihdQMqSXSKiLiWZIaUuoM5Rt2S3x07ads1DyjGkVF7lfK/wZUhb2DnJaV+IiKhTSJTvA5vKR7qBaI8142nTbrpjSK32LJ+oaMGpospCRvw7K1OyZJeIiDqEJSUDUup4bobU8n9fdqp+Ie/eI8EmUURl43aSLng78iZzikjLWLLLgJSIqEvZY0jL9pFNZeNO+9JjJbsqg5n3GFKFf/tUVqXNkGr708q+SSlzv9FVNAakRERdypLlu4NM5aMyhW6X3SI3Zhq5XXbbtFxO+0Jl1QvjpFvZNXbZJSKiDsKSXep8bobUyt4ddvn2g9iyb7wdmzVt8r5uZJddKruydtnNawypJSUqJUuRsssuEVGXkrJ3ptCg7tVQfpfhlD3nigUAgI2XnZPzVrWfl93Je9oX+yszpFRW3k2XgjckZ3l12bXHkOawQR2EGVIioi7FpkbUTXpvHlL7a+4ZUrX8sl2tEzm8svRyneP6e19LGVKW7BIRUaeQ6J3xeNS9VCag15oaqb/O3MeQsmSXSk6W9b0itwypRLVkKVIGpEREXcqymCGlzqcSeVYTY0i7mdrNvDMZSU2NaoaF0Skj13USTafyZki1f7fS1Ei2r3t3URiQEhF1qd7qWUrdSpWpufOQ9sgp644gzb2pkf016mL96kfW4v1XP57vSommUWmbGukZ0paWw2lfiIioQ9jzkBa9FUTxGuYhLXBbplO7/jbdkt2IFOmekSnsGZlqz8qJpoHlvleU992ilfcHS0pUmSFtJIS4QQixWwixLI/lERFRMinL/HFNZRFswtMrN1HUX2fbmhpFHEdLlq87KfWWss61q39it1KObFos2Y1yI4B357QsIiJKwb7wLNknNpVOMEPaKzlStbu5XzgmlOwCku8L1N0Sz/HulGfJbrVkNa657I6U8lEA+/JYFhERpSPBpkbUDfwlpmXLekRpzyykWjljxB+/ZaFXYn4qKZVJLNvnm7+pUWtddjntS5OEEBcLIRYKIRbu2bNnulZLRFRa9hjSkn1iU+kEm/D0yjnbrv1MKmeUzJBSl7PcBmjlOo/z2h+T85A2T0p5rZRynpRy3lFHHTVdqyUiKi0pmQihzqfOUbfLbmFbMr3aVbLrlkBHRKQcQ0rdTmVIy3Ye67vTyk0jKYFKydrslqwCmYiod0gwIqXO53aFLetk9xHU/uZ93ehdrIcfSMmx5dTlvGlfSnYe62NIW+yyW7J4lAEpEVG3shiPUhfwMqS9Ne2Lyu7kfd2YNEcju29Ttytrl11dKwGpyTGk4YQQtwB4EsDJQoitQoiL8lguERFFk1KW7w4ylU7DPKQ9cs6qLGXuJbuB5Yf9vleOMZVTWTOk+q2iVvbMslC6gLQvj4VIKT+Ux3KIiCg9ZkipG6jAqdfmIUWbMqQIBPhBlpSlzixR+alAtGynsW/al8Df7xPr9sK0JN56UnKfHVnCkt1cAlIiIppe7gd22T6xqXwCTXh6paDUzWC2aQxp1N8+5yembpdUBdCt/AGp/3d/dd3TAICNl52TuByW7BIRUUdwS5p65OKeuldwPFjJrjEjeWNI29Nl14pIg9ql/LmukmhaeY3QCt6QnPnmIW0lCB/MAAAgAElEQVThs9til10iIuoEvdD0gcphurvsrto5jM1D4+1dSQreGNL2LDdyHtKSjr+j3qHO3LKdw/r+tNRl12LJLhERdQDppUiJOlqwy267y/De/b3HAKQrfWsn9Teae5dd52vUGFJ9DsdqyS5aqTeUtZpCRvw7K4slu0RE1AncD2xGpNThGrrsFrgt00ntZ57XjZYlEzOgluV8LdvVPPWMYFVFGbWyb5YEqiVLkTIgJSLqQkmNTYg6hZuxs3orq6/2N88xpHpWNHraF743UDmU7RyOa2qUhWXJ3IcCFI0BKRFRF2LFLnULN0Oassvu/rFauzdpWrhNjXK8cDQtPSCNX2+Zs0vUaLJuYqJmFr0ZuZClPYdzmodUSlRLFpEyICUi6kK90LhkyijHxVWvC07hENeIa9GmfZj39Qew7cBE+zeszbymRvldOFppMqQlHX9H8f7lzhfwyVueK3ozcpHmvaJT1E0rsuN1kO9vssWSXXbZJSKiwlklH4+3ZtcITv7CvZj/wo6iN4VaFcyQxlyI7RqegmlJ7Bvt/iypbEOG1NAzpDHTvgAcX95r9oxMYc/IVNGbkQvvLaLzz+GT/nU+Lrnj+VSP1femlWDblCzZJSKiDuC1xS90M9pmyeYDAICHVu0ueEuoVSowMlOUmaug1VCdebpYOwJCK0XJLqeE6k1Sluc11ztFd4PbF21N9Tj/GNLmd06yZJeIiDpB+cbW+NVMOyDpq/Jjqtu548HcDGn0Y71SPdn15ejqYjrPyjr/GNKILrs90KGUGknnf2XQLWNIzYwRs8xtDCk47QsRERUvrzutnUp90PdzIsWupy4qvaZG0dwMqSm7JjsSxR1DmmeXXe2gRP3Zu2NIuz/JTBlYljflT7frlgqgutn8AW9l30xL5nqjqxMwICUi6kY5tY/vVOqDvp8Z0q6nTk93HtKYE1YFXGYJMqTtGEOqT/sSlZ3xxpd39/GjbCxZnle83fOQ7hmZwhu//gBW7xxpaTlZA1LfjeQm16mODZsaERFR4dJ02+xmdWfAYR8zpF2vmZJd0ypBhtSdhzQ/aUp2vXLHHFdcUqYl8clbFuP5rQeK3pSWSZSnWqbdnaIfXLkLe0amcP2C9S0tR31OpeVvstvcznlDAcr12ciAlIioC8mIf5eFocaQluwucC8zU2Tu1MWWHZB295mttj7PaV/SzEPqNYTp7uM3HYYn6rh76XY8s2Ff0ZvSMillaapl3JLdNn26qaW2GtRlz5Aml9wnUe8BZftoZEBKRNSFrBw+2DpZ3R1Dyo+pMJffvxrLth0sejMSSdkYQMWdr27JbgnSe80EhD94ZB0Wbdof+Xv/GNKIkl2r+fX3GqNE55vdZbf79wPQSnbbNCbWmyO4teXUjBbGkDYZbFss2SUiok7hH4tSjosQncExpJHGpgxc8dBaXHD906mf84vF2/DU+qE2blU4/TzNUrJrlCBD2kyMc8WDL+JXz2+PWWbyGFL3/aC7D9+00McsdztLdv/fjKJO7Xbtj7fY6c6Qhv87CzcgZckuEREVLY/Sn06mMhfVkt0FzsOekSkAwIz+auJjV+4Yxl1Lt+P7D76I/35qU7s3rYF+aqqL/7iLTPcxJRhD2swYMcOyYMSMSzNSlOx6F/OZV99z1Hy3VgkOlkR57kHIwNd2LT/s42XKMHHVw2tTZT+zfk7pN4+bPeXaMZ1UJ+gregOIiCi7slx4RFEXAyX7zM3F3lE7ID181kDiY3/69Gbc88IOzB6sFpI98ZfsJq/fnfbFKk+X3SwMS7pBUpg0JbtwA9LuPn7TQR3qFmbv6BiWLNHNyRQdufNYfliS8UePb8S/37ca/VWBi//kVbGLUZ9TzQSHLZfsMkNKRERFK/sYUnVRbpQgc5E3FZC+ZHZ/4mPtjJsF05SFzFEYliFNU7Jrlx+2ccOmgZXxotq07KY0cRlS/TWMCjj1Y0jx1PtMGUp2ZQmmSlLUXrTrPcBtOBZyy3NsygAATNSS3zBVyW7a4DCXkl2LASkREXWI8o8hLU+zkbypkt00GVLDtAM7U8pCLrr1VabpsqsyVYbZ/RfXbhOnlI9XF7dxN2H07Gl0l13na3cfvmmhl4h3O7upUdFbkY92T/viTskUEtNlmT9YTfvSTEDarLKW7DIgJSLqQvrnWhkvPOsMSCPtGa0BAA6dkZwhNaWEaUmYVjEX3b4xU+4Y0ujHu/OQlmAKi6wBtTrX4xql+JoaJWRIu/34TQe3y24JDpYlZWluTrY7y++NIW2M6tQxTBPweRnSbOsFmn8/VsekbP0VGJASEXUh/cOsHJcgfpOGCYABaRhVspuGadmZ0aI6cPq67LpZj+SmRmWYhzRrYKiqAuJKdvVYNeo4qh93+/GbDqXLkJZgLCygZ0jb87rE3xSzv6aZPzh7yW7rn9tedpcBKRERdZAyXnhO1e2AlGNIG6mSXTPF1aedHXX+K+BQ+kp21RjSmMfrAWm3v/LuRXXKPam746ajX1dfyW7Ew9RFb7cfvzBDo1OYqJm5La9M85CW6XNABr7mvvyYpkZNleym7rLbuJ6obYuiTlVmSImIqHBlb2o05XQvLNNFVl5UhjRNsG45JbuW8990809zkDyo0i3ZLUWG1P6adjf0DsNJj7GXH5EhTfh9N/vQdU/hew+uyW15Zoc0NTo4Xm/579MeQ1qO11wFZe1+zwot2VXBaooe7ypDmjo4TNH7IWmXvS676VbZLRiQEhF1Id91RzmuQXwmVYa0iLReh9s3Zo8hTXOxpo5f3bIKL9nNkiE1rO4fQ5r1eLtNjWLO+am63tQoaQxplx/AEPvGatjvnP95UMe63YGPYVqR6zg4Xsfr/+1+fOf+1S2tQ6L7/2YUr+y8vcsPi+m88aXJy8k6hjRsG4KS3jdMluwSEVGn8GVISxiRTtaZIY1SN9JPiaOOX92UhZQl+pp4pGhUYmqZkWZe+k4KwrKWzro3D2KaGk04N2pm9lcjL9ZVKW8JqlAbWDLfOUPV+dbuDOkHr3kS33vwxdDfqdf09kVbW1qHVaYMKdpbdq6WHxbTxXXgDXLny047hlTbo6j3qqT3afW0KgNSIiIqWpqxKN3MzZCWpUtHjrKMe9MfW0yG1FtnqnlItQxpM9vbSX8LWUt2jRQluyp4mT1YTSzZ7aRjkRd7rtb8dswbs5zbIkNtOzCBbfsnQn9Xca7ER535L5slZXluTU5XU6OwQFKtMV3JbrbyWf90bVHbljSGVI1bTbfOblGy3SEi6g15dOvrZGoMaRmajeQtTeCi6Mev6AypV7IbN0bS/tpsV+BOyhB5+5lumwwrOfOtmn3NHIjOkMoUmehuZVn5zqerjnW7S3bjAmn14/EWmzVJ2VkVAq1o1zjo9165AB+96dn4kl03WE1envqbTZutTHMjWZ2Kv3p+O0689B4cHK/7fq/O/7SdfbsFA1Iioi7ku9NakosQncqQMiBtZJjpg3X9gq6IQxk+7Uv049X2GmZzJbuddLpk3RZv2pfkkt3ZA32RQVSZp31R8+rmtjw133Gbj5VhWonzxrbKvomTy6IK1665dJ/fehAPrNytlexGz0Oapgw3c8muL0MaX7J73WMbAADr9o4GlsGAlIiIOoSM+HdZTHLal0hpurEqeoOcQgIUbZVpSnbdEkrZbEBa0PmydCkwZw6wfbv7I5nxotrNfMc0NVJjq2cNRJfsNnMxf/PTm/CX1z6Z/gkFMXNudjWdGdKoQDqvVUuU6Oake1OlTYuPyYLGZU+DVMlu2i67/q7jUdvmLwMOvqbqeQxIiYiocGWf9mVSTfvCgLSBNy40eeCbfp4UU7KrrT9F91e3yUyTXYEL+1v4z/8ERkeBX//a/ZF6eVIHpE5mtB7zuk7UTQxUK+irVnIdQ/qvdy7DU+v3pX9CQaTM9zzWb4C0U9yY6Lze48qUIW1Xya67fHdql5jfZeiymzogleH/1qlzUpUBBwsm1O857QsRERUuTelPt7Is6ZZCMUPayEyRSVP041d4yW6KaV8sN9huLvNfWIZUdRixkqdliaKyLXEB12TdxGB/BRUR/Xqm6WbcrcwmxxZHUWMA232zJj5Dms+6SzWGtM37EZshdb6my5BazvKauHkWVbIbKMkNnh9eU6NyRaQMSImIulCZM6Q17ZYwx5D6SSkzddnVsy9FZJv1NXoZ0ujHm1r2t6uaGoUEpG6mMmVoneZGw2TdxMz+KipCRF8Eu+WO3fe3c++ynbgjZvqTvLtFmxn+lpql/majhgbnVrIry/NZ4GZI2/S6qKWGlb16wWqKMaRqPH/KAy8jv2lcv/eWEghInfOIJbtERFS4NKU/3YoBaTT9cKS5CNIf0+6yxDBhN05iu+y6JbvNZR0KO12ci8NtQ2P46dObnW1JDsB1qlQ3dh7SmokZTkCalHHrxj+dv//vRfinny0N/Z26MM9zv7Lc3GmWWnTSmF+gtcxgmaZ9afc5HNtlF+lLYtXNIzNFtYpvxYg+H7ySXJUh9f/ezZCWKx5lQEpE1I3KXrKrMCD10+dlTTUPacFNjcJWGbcZ6nemZTV1o6WwkkUnnXHNb9fiX+58wdkWZ5tSLsLtshtbsmvZGdKKiG6KEvKvMvBuVuS3X16Q275jlVQWrJ+zYy1M/WLJ7syKh0lz86ql5avlhmQZ3ZcpRQay3kKGNHraF/sXalxqcNks2SUioo6hf1CX5BrEpV+3cQypn35Rm2YMqW/al4KbGrnbkaJk124Ck319hZ0uTkBaSZEBiaKaVCVN+zLDGUMaFXx3c4Y0TjvGxk5HhtRMCHr1VQ9P1EMfk4bVZGfqTqT2o10vi3ovjGtqlCbeq2eYgstetvbvyG2zv4qkMaQs2SUioqJZKT7YupX+4d7KxeeLu0awdMuBPDapYxgZs8e+xxc87UvCDwF422hJmSo78vCq3dg3VvOWXHCGtCL1pkb219Qlu6kypF7JbvS0Ec76SxaRqgv1towhbeOhSgp69Z8PTzYfkEqUJ0OqtOvvecppmhc7hjRFW6Oake2Ghr4/U0Z4Nly9B1ad1TeMIXW+rTIgJSKioukfbGXprKjo+5MmCxjlnd99FP/rqsfz2KSOoY9VMtJM++JratSWTYoV9urFna5qew1TJm7vRM3EhTc+iw/f8Iz3/A7JkNrzZdr/Tlt2aLgZ0jQBaVwJqPM11Vq7RztKdqdjHlIzoXuyHkTe/NTmpt/PyziGtF0fbRPOPNex85BmyJCmreRRjzpiVj8OjIfffAhmQOuB9wN1rpasYpcBKRFRN/JlSMtyFeIouhFPJ8uaIdWPX1T2ZO3uEV+WMU+hY0hjHq/PC5mU7VEB3OpdI9r6CjpfnItH4WRIa4Y2BjblJqlANG4eUncMqRCJTXK6KVs2UTPxwtaDsY/xSl/zW685DdO+qL/ZyKbI2s9/8tQmbBoab2o95Zr2xf7arnN43BmrGxbTZVmneg/KekPjiFkD0QGpCjidiDN441G9p6fpAtxNGJASEXWlclx4hDEzBl29xDeGNE1AaiYfyzMvfxRnfffR1jcuRPgY0ujttjJkwdRj9K60nZIhrZnZp63RA5eo/ffGkIrEAKebYpN//J8l+PMrF8Q+xmpDNtPQboC0i5mwDnWevPv3jwHglZNmZcnmxl13IvW+0a79mXAC0rDGQGqVaf5+3ZLdtE2NnIcdMXsA+8fDhxoES3KDXbfVQ6slS5EyICUi6kJlnvZF3x82NfJTd8tFTMmmzgy50Amzd3Sq5W0Lk7XLrj4vZHKGtDHzVPQ8pMK5nK0ZXkCadov0ZkZR5dgTdRMzB6qoVJKnEWnmWBSVYVu4aV/iY9qR+VU3bNpZspvUZVf9+LCZ/c736bdFSomt+8fd5ZQtQ9quIuTxmpG47jSnROamRs7XYIbUN52XmyFV6wiU7HLaFyIi6hT+pkbluAhRfE2NGJD6qGMz2FdJlyHV4prpCNYmaiYm616zjrA1xl00q2svM0WX3bCxlkUHpCpDWjctLVOZbpv01zNqHKkaQyqEiMzKuJXCTRyKtH9uB8bzLfHOcnMlzwZE05khTbqBUHW62GSpCrn12S0441sPY/Hm/ZClypA6X9uVIY0bQwp1oyt55dm77NqPe8ns/pgMqQo4wzOkal0s2SUiosKFlfiUhX7hxgypn+EGpNVUwbqZMG9p3hmV13zxXrzt3x+OXX7cGi0tQ5q0bWFZxMISRCogdbapblqZ/y71IHSiHt6BUwWk1diS3fZmSH+zYhfm/ttv8MyG5KymYVqZyq/jqJc7z3PWzbpOwxjSyAyp8/OBasW3TWmoLuKrdo5kvgHSyWSbX5cJdwxpdJfdNIdRBYtZs9NHzB7AeM10O+3quxkMSIM3p1iyS0REHcPf1Kj7L0B0Rc+d2cmyZ0jjj2Wz49Xi7Br2yn9DT83UJbvx6+nMDKne1Chbya7ezGje1x7AI6t3+35vmBbqpnSaGkXvaytjSNP8uT29fggAsGTL/sTHvvpf5+Mvr30yl/W2s8vutIwhTSjZ7asI3/dpzOivArADrHZnFadTuztFq6ZGYdVFWW7o1FKM0fcv2/76klkDAOCW7errUstRAWcwQ8qSXSIi6hj6B2nR1x8nXnoPPnnL4tyWpz5/hUg3tUkvUUHYYH8lc+Yp7AKrZk7/8Y270FOBgZEqQxoWkLa2bU2LaWqUNkAwAwH2E+uGfN9POjcPVFOjtowhTfFuohrBpD11nt2YHLimy5Cq/Uq33jS8YDG/ZQapv9l2lOzOHHAC0rqZecxyJ1P70O4uu3FdwNO8DP5x3ykCUmfpR8y2A9L9IaXvajFR0764Y0xZsktEREXrtKZGdy/dntuy1EVIfzVd0BWmbFljxcuQVlMF60lT6EzV2xuQhl1QpinZtaQ/NPqz/3ikoUQ07NxIuoC1LIkTL70H1y/YEPu4zAJNjeqml+FNnyH1P1JlvxQ1NnemM4Y06uVvJVOW5jnqQjjX5kIpltWO8lpjGpoaJWdInfc75xzK8t410zlHJrWAtJum+4kiM97MyUqVxIcOKXArDJJX7u/wnaFk18mQqum2fFVB6gaF29QoKkPKgJSIiArm/+zr/gsQnbpwG6hWmi6la0cpap5uWLABr/6XX+Mbv16Z6XkqCB3sSxes60FLWACjxjApv35hB075f/N9jYlakbnLrsqQmtIXJKzfM4a1u0d9jw1eqNnLjj8m485+/ft9q2Ifl5kKSFWG1LAy/1WagRdoZiAgVePeBhNKdvWgPqs0z1EXynkGcenGQ+dfXuvOQ9rGIM6dqzJiFcExgZkypHrJrhtINbedncTKEBSmpS9rIiZDmiWwzzovtFuyO9vuqOyV7GrrDyzHCLzPDTlB7BHOMsqCASkRURfSPyyLvAAJfljmQe1Pf1U0lDGmlVdA1S7Lth2EYUm3KUlabrCecgypnkUNu8AKBu7fnL8Sk3ULu4fzmQYmbAvjykItLegI7l7weeEZ0vjtGZuyp3sY7KtGPmbljmG85bKH3OxFKqFddlWWJ905HBwTO2vAv42GdqOmWoku2c1Sctjw3BTPUfMj5hoYZsmQ5rhedUzbmSFNmlvXqwjJflxn9Nvn3UTdC0jzPD5f/OUy3LFoa27LS8sbx5nfMvVlqQypJYEfP7kRH71pobZu/9c4WefMVo9QGVJVsqu/R3hjpe3va4H3hV3DUxACeOkhg8kb2EX6it4AIiLKTkb8e7qNtyHwM90LtOYzpFFdSjtFsxfXXpfdCqS0L6TDJncH0DANRJqSXUsbv5uHuJK4MHrjmmAAGrzeCytZTjqeI5N2QKou5MNc/cg6bDswgcde3IP/Nfe42OW5gk2NzOzzkAbHigUzpCqbV60Iu2Q3IePWzDtDmvNRnW95BnHpLv6R+3rbkXUNUjcaogIW9fO+qirZTb9s9ZyJutmW6b/uW74TY1MmPvAHx+e+7DjeTZX8X2v/eiS++MvlAICv3L0cv3f0HPc4pmq01WSGVI39rRmN2XP1tqb2PXjTd/fwJF56yCD6q+XKKTIg7WDPbd6Pu5duxxfPfW3p5hsiotboF/pFZkjHp/IP/NQH8UBfpelM52Sbx0a2Sp9vM9PztDGkgB2gDkQEpMFlS2mfN/rnSbCpkTd+KZ/PnNAMaVxAaqmvsvFxgR+EdtlNeNnTZEj7K+HNRGI5x9RtamRY3rakXEywZHdGRIa0ryJQEdGZ11ayS2me440hzb78Vnjzeea3zKQpWfKQNA+p+nFfEyW7apn2GFL/z/JgWgWNSZW+Ly17ZsM+zF+2o3E12gp+9PhGAMB7Tj0GQLr9trIGpM4eqb+hsPGqwYx6cGjCruFJHH1oubKjAEt2O9r7r34CP3p8YynGAxBRvnxNjQrMkY7VjNyXqc/L1+w8pGqMUKdyLzoy7p6eIQXiL4LCsj7Bh08FAv68G2aEd7GM3mb/PKTB5/np50baqRq8gDT68scby5fhpoZzvITU5yHN9uIGmxoFXwEVgFcqAhUhEqcRsaTEFQ++iOe3ZigLT7HJ7vGZ5ouTpNLXZrjBYhsDUiMhINWbuAHZjqva7Mm6XiLe7JY2Mq3s53GcHz62PtX8tWqNeY0h/c2KnW7AGbYe389CgsQoSU3jopat3l5l4Of6ctTX4PvCruEpHD1nRuK6ug0D0i4w3W/6RNT5fNO+FPgW0Y7AT10kttJlVy/Z7cSOu81O/K6CpMF+lSGNDprCfhU8nmoMqUqItnJdHr4vIWVycRlSLegIXgg3NPvQvleZ3qSXetQJSAdiAtI+ZyxfppshzopVEFk3vaZGaW8YBUvzgvvvlnZWhDOGNGJT4GVpL//NGnzwB8nzgEatM4ybIZ3mFKk3jU7+Aen0zEMa/nt1GFWgn2X/1GswUWtXhlTmegPgqofX4hdLtiU+zuuonM96o4592LHOMl2Tadk3ToHwio0oVeF/rf09IfyfDXXnPfqWZzbj+a0H7AzpYeULSFmy2wVMS6I/urqIiHqQ/kFdZLylMk4DOY5nUdc//X3RWaAkeubPkkC1w0Y9WFppahbuPKROQBV3wZZmjKUKSPsCU040c1FbD1lfeIY0mp4hDW5DQ4ZUu8qcrFkY7KsmZ0hryRlSdSwyvTbOvrtjSI3sGatgABx8ngqa7DGkcRk3+6tqypQl2Z1mU5vJVNYMK/YmQBrt6bIbHyzmIX2GNNv8rvpzxwPvd3mxZP5NpPQbGat3jmDVzuGGsdpuljKn6p+kcmnfz9znpFtuf1WgZqY7Tuo9QQRKdn1j/QOfDer8+b8/f8F9DDOkVIgyzClFRPnS3xWKfI8Yd6eiyDMg9TKkTZfsahdoaebrnG5mk4GfN4bUuSufMUMaXJ9qqqGyM61kWcLGXIYtJW7Z7rQvVuO0KcGn6eeG1zUzfrtHnTHPcWNIq82MIXUDUic7aTZ2CU4SzLBEZ0grqAgRGeiqi14VkB4ymD73kOZ1V2PakgLDsGk2WuE1Amt5US5vSpZ2Zkid4xWx4eo4VZ0bIVm2RS1zQh86EfP0u5Zux+7hydTLNywr9xJpfXnv+t6j+PStSxoel6WxUNr1hgmdJznDe6BhejdasnxWVdyS3casf3DMcXCcPwCOIaVitHOwPRF1p065UeUGpDEX+Fm5TY2qlabLAvWmRh0Yj7oXIJkzpIGmRnHPDwtWG0t27devzw1Imy+VC5sCKDQDEbPLeuOaYDld8JzXAzh9Goc47hjSmBsofc2MIQ3JkGYp/QMaX6+GrsKmlyGtiLgAx/7qBqQz8g1I1XYklSjqmzdeb32seVu77E7HGNLILrv2V5UhzbJ/6uUam9IzpOHPn6iZ+NQti/Hzxckls+6yrHyzx0bKEmBvHGd+6w0zHnKjJEtpuCW98v80r5taZCVwA1D6HuM/J8PeV18yeyBxXd2GAWkX6MSLKSIqlq+pUYGxaVwJ5JpdI9g8NJ55mVnn2gyjZ0g7cRy+2q24bVu8eT/2jvrnA9WPDRB/Vz60qVHg88Qt2Q1cDDdzwyPsTn7Wkju1fsOyEj/79ADOm+g+fn0qIFVluWGqzYwhVVOyqEYkpqVdbKZbTjDAC+6Leu2rFYFKzDyk6ucqIJ010IeHVu1KNzYxxUNUaba6mRFFDzzCLvyz8hqB5ff3PB3zkCaVGgebGm0/OIll2w6mW7bzXN+Y+YjHqterZqS/qDSlzH3MbpbmP3mtO+r1VfOA6tTrlWbN9pC69M2o1COCXXb1v2WvqZH9fVilxuwMVQ/dggFpF+iUTAgRdQ7ftC8Fdtkdn4qe1/Gs7z6KP/n3hzMvM3iB1szFoj5djJm1le008DKR0dv2vqufwLlXLABgB1LLtx/M1GU3TcmuGmtbdceQhj8ujbALp6igMupC0y0ZthovCBtKdpvIkKqmRnHZz/5K9iYlXkDqdNk1LHeDs4wh1cdiN5Yoe+XVFREdkKqfqoB05Y5h/N2NC3H9gg1YsX04fjdSbKs6LlMJgY1+buZSstuG4LET5iENTrV05UMv4u//e1GqZavnqhst+s+CVCAalnELI6VMHUBmWV6aGz1eyW4+647ah/3j9YafRc0RvWzbQYwHusqbUno3B1O8X7gZ0kDJrn5IvPdA7+ZW0IwSNpZhQNoFOvHuPhEVy1/iU9hmuM008vyAtAIlbM1kSSc7PEOa9kJ4pzPe6xM/fQ7nXLEAo5P2BZQqOY07NqElu8ExpKZqahQo2W3ikIWW7EbcLInabX0MaUOX3YiMIeC93mmnfYk7biowaCZD2mc5WSgtQ5pW3bR8pcRR+99XEajGTPsSLNlVvnbPSpx9xWOx25B23BwATCXM9aufa1kzpGE3LMwWzs0oScFiHtLOQ6re78amzNTzL6ugRb85EPUSqr/14DQikct2HpbXsckyxY7X1CgfUftwICZDqj9lsm7i/Vc/gdsXbfU91tJuIqVqapRmHtJAGXlYQDqTASkVYbpbqxNR5/OV7DUOQGcAACAASURBVBa3GRh3xi71tdhld8owsXvEDr7UhedAinGSUSY7vKmRm4lMuWnPbbbnkhwLjNmNy/SFZkiDY0jr4U2NmimVC7twilpMZLmp1vU0uA3BZ/iaGtXSBqRm5LYqXrfTJsaQmnpAKkO3O4ppSd+NnbgxpGral4ZjpH0fLPf2NjV6i9Jsqwpowkq0dXplQjCzlCRsE5MCu2ZM5xjS5Ayp/R6a5WZG2OPC/nYPTtTdGxRpM6R5H++44xD1t572OEgpse3AROTvowPSxgxp2H4blkTNtNwKC/exeoY0yxjSwLQv+u4HS9PDKk9mDjAgpQJ04t19IipW2LxlRVBjSFu9cXbTExtx9vft8lS1P25g0MT+6WOqOjAeTZw6I/iaqmMx4Qak+WRIVWZFTQ3SSoa0ZqR/UtQjvXlIrYZgNqqEFfBe76RTZURlSGPK66oRJbsHx+vRf2tuya4T8BpSC+7jt0kxTOnLfER22a0K9wZC8PzRvx2eDA8C486ZNH/HboY0aQyptv1xJbtxc0GG/SzXrq9tGJfasA63k2/Uvtpf+ytC+1m67QkN7kIe94//swSfvW0pgPTdo/MO1uOWF/xRVNlslOsXbMBbLnsIL+4aCV93ZMluzBjSkCDR9zNLQkpvyrNUmV/nq1uyq25M6mNIA5lkw7QazhtmSKkQ7LJLREEy4t/TTV1ompaMzTol2TMyhaGxKWdZ9s/UB30zY0D1LrudeFMvudGJ/3vVhEcFXoMpxi2FX9T7v1dBRfAirJmsSFgAHLWYyJJd7aI16iLVXZ+272kvYFXJblzZYl9Iye6B8Rr+8BsP4KFVu8Of1FCya2oXkemOZd2y3EATaAxe1Pb0VbSANCZDGqXVawp3DGlCya5+PsSV7IZlWkPPXedhef45G9p5364be/p5FHboVeChV5mkfY3SBvO7Ryaxbf+Esz2Nx7seEvTkXSJtxLznBbcp6k8nqiHTI6v3APCGOARFBYsjITdtTDf41G76hswbrR6neh1kKfFX85CG3bQKZkjDppBiQEqF6MS7+0RULN+HZYHxlioh3Tg0hpP+dT7uCIyxSatu2neb7UDE/0HfTECpl6V1YlMjr2Q3fNuCF2j9ffYFjDfvq31BEjunZ4qSXXWBFyxTa66pUYYxpBE/t3wBafw26MdIBUm+UvaQ57sBaYpOo/o5NDRWw5RhYddweBmsW7JrqaZGMvPfpWlJzNJK8YJPV69RRaTLkEaJnbs2xUarYD6pqZG+mvGYMZFhQUbYZrQjm6mXZbfr5r/pC0ijA0jV6RpI/54edizCnjtVt9ybWWE3sc68/Le44fGN/mXn3EQqNkMacSrpx+vJdUP4vS/Mx6JN+xoep26sRU0/liVY9DqNN25HWCYzy7Qv6sVRr3RY86ZgUyPDbBxPP2OgfOFb+faohNhll4iC/G8Lxb1HqAnZVaA0f9mOppajghm9mY135zn7Xbl6yJ3sTpI0hUXwok11fp0ITLOTtWT3rd9+2HfTYCoiIG3mkIWV7GbOkDq/MKzGkDUqYwiEj/sKW4cqMY87p/RtUNSY5MjnqQyp9MaoZj2WdVPiZYfNxPUfnucsMpCxcjOkFVRFeECapuN2fFY9eTvTluz6MqRT0WNIwwLS8KCl+ZslUfRj0a73ibDzVOeV7GbPkIZmXEP2Q89CB0t2pwwTm4bGsXlozPfzvDsQq/MhbN/0c8XX4Ef79/Lt9lQ4dzy3DX913VOY97UH3N9NBsbCB2UJqs2Q4FP9e8X2Ybzuy/dh9/BkUzdOJezhEd4QCf9XoPG4103Ld8wqAr5u3GVRvj0qoU68mCKiYoXdUS2CPiG7LfyCIIm6MDRM2XDnuZnMhZ4VzdScZpokjYcL/lxlT8YDY0izTvsCALc8s9n9txuQBsrzcivZjXhswlBMWLJx/sOoJj/2uhuDv7B9UGWmaUqd/V18ncxn1PPUGFKnZHeqiaZGhmlhoE9g3gkvcbbD/3t3HlJtDGnwkKd52eJuYqQpW1XHIGk+S1+GNIeSXVML8PMqr/VlL9v0NpE2Q1ptYgxpWKAVlSH1tse/owedxj7BjHe7MqRh559+jPxVDt6/X3bYTAD2NEZPrBvyNe0KDj1oWH6G80Wdjv73EvvrxqExDE8a2HFw0l1XmpuDipT2J6QQAoP1Kfzplf8G7N8P/V1Cuu8/9veqekiZ2V91S37LhAFpF2CXXSIKivrQnm7BLEmzn5N1S2VIvfEyA9XwLFCW5dnPb26b2knFNVHv7w0BaWAMaZq576KyeRXtRXIv5ALLaeZjJ7zLbviCojJ5vgxp4CHB7/2ZJ9U4RruwC1m+N/VF9EmhFqEvf8otd7Sf97VfrcB51zzhPSkwhrRuNDZlSlI3LfRXKxDOlVnDmNmQMaSRY+9ixN7ESBXQqgxp+jGkwe6kurDANmw7fOP3Ag/42xuewZfvWh67PWHCxgTmzZeFDQ0gVaatiYA0ZcmuL0Ma2IYDE3ZAGpxqJqmKIyt1HMLe86KCdv2h6nxauaNxLl11Lkb1McjyGaK2zz8sxrthCtjHpJmSXQnpBpMfev5+vOGum4FvfCM0Q6rPQ6q/BmXssAswIO0KzJASUdB0dtm9/P7VuOT2paG/C2Y3IiqmEnkZUsv9IHZLoZrJkCaUyRVNJlzsBe+29zsXPWNTBqoV4Qao8cFF+O+EAO5auh3vu/pxbwxpQzYy+zHTS3bd6QwiHhtZsqtlOoPHIBjE+sYJx4z70qmxo7EZUm3sljJpqJJd+3c/XLABz27crz8JAFC1vAtjr2Q33bGsmxJ9lUrDHIWKCrqrMU2NUs0jGhuMNz7/h4+tx8U/Xug9XzU1CgSSe0am8NZvP4R1e0YbtmVksnF6DSV8DGl8oBU87R9dswc3PrExch1Rkspp86BnJEOnYnJWqzc1SrspoePEQysDtGmwAk9SU59MBppUGW5glG5bkqTOkGo/188DdZ4Et9P+mTfdkjJRM/Gha5/C6p0jvuWrjGbkdsqw9xL7q7qRZVlaQBrS1OiKB1/Ev929omHZKkMKAIfWxgEA6w7WcO4VC7T1q3V6x0vf/jzn/O4kDEi7QCdeTBFRsWTEv9vhiofW4raF4c2KgheTlSZTpOrOtq+pUYZSqKCkrESSz/9sKX71/PbMz0vLbZIRcbHXOIbUK9mtxmTI/MsI/3lFCHzqlsVYvPmAe3HXEPy1WLKrFhc5hjTkZ96NiPB5QKNKWO11q4tIPShuXIebIY0JSMPHkCYEsg1ddi13H9MeybpTsqv+gqIypNXYpkbJa4v7ewj7zdfuWYn7V+zybSfgD3IA4N5lO7Bl3wRudJrj6Mcv2M302kfX4eanN9nLaSJDmtc4Un/JbpsypAlZWG9ssGj4WZLQDGnI4/RALXgOH3CmPpkMVLvkPWY37G9UMSP+bvVHxgWyboZUO5e27B/Hk+uHsHjz/kwBadh+q5thqpLEtKTXZbdP+J4HAJf/Zg1ueHwD9oz4m6BJeFVEs+p2R+Bfrjnoe32CNyvtagstQ8qAlIrSgcOfiLrC0OgUPnPrYrezZqnoH9oF3rMKBqRNl+w6H/R1/YM+w/xuQXpw1EyVyc8WbcUnfro48/PSUpuXNkOqxpBO1E30VYR78Rp34RoVrOqv0XjEPLLNlDnXQzKWUeFYWMAbfN0bgsbAc+qmdDPyXmY1PvOplhnfadb+ql+4p21qVJVel93sTY3skl03Qxr4fdgY0samRsmC55aVMdBTzw9WR7gBc8i2BQPSu5fuwL3LdoYuR3/uln3j+NzPlqJm+MsW01aI3LZwi2/MdOO+tPY+kUZStUawOY4S3K/H1+7FV+62y5Iv/80aPPbintgxqe732nkPhJTsqjGkgcxju+chNSKCZL0SQt+XYGYX8JqUTYXcWFPjlsdqpm85AxGdeN3tjMmQ6lPXqFNnoFp1f7dkywF89VcrcOiMPgDA7SFd59UtJxWQjvQN+NcfKNmtBZoasWSXCsMuu0TNeW7zAfxiyXasjpgsu5uF3b0tQkNA2mxTI9WB0ZTuB/FAgRnSdktsahQIxtTFamOGNC4AC/+5nsWeqOdXsls3Go951ObFZcDU6x4cD9YYoFlu+ZoRsr5v/HolNmmdQ/Vxo3EluyoQ0AOlppoaZQzqVcmu14EzeJPAy6RFdtl11nnRM3fiMwtuDl2P/pwD4zX86y9e8J6f4mU3tCxzWLAVdrMkWLJramWIcSW7l/78edy+aCue3jDkC5zDGk6FueT25/F/f/5C5O/1U2w6MqRxYz6DHWL1zZFS4q9/+DR+9PhGWJbEFQ++iAuufybVGNKGGwfBkt2J8Axp3LyhzQh22dW3K6qyQT8GtZC/vZFJA1+/Z4U7tl5/z1A328anDN9rkFiyG3IzzS3j14LqhgyplHho1W5cv2ADjj9iFgDgxd3+aw9932bV7IB0vH+G7zFq9ab2GaEfB5bsUmE4hrTzPbx6N+5bvrPozaAA98IpxZyD3UZGfjO9ghc76mI6a8mn4WZIrZyaGnVHQAqEXwgHM3HqIn98yrAzpCmOTZoMqSq7lDJ7piyoHpJtilrMt+9dFdlEZYaTwQiWcga3qW7Jhk7M+mN+/OQm/J+fLHK/V4FPRUQ3P9GXUTctPOK8t08Gmho1Pskr2R2oVjAyWU8cRxtUNy3094nIMaR6BjI6Q2p//6frF+LMtc+ErkcPxv/9vtW45Zkt3m5kyJAC/mAyKkN6yGBfQ4bUkvEBqVqFOhaWDM9YAfHjU5OYluWOASw+Q+oPSPXHLt160P33hPZ3E3Y6Bt97g5nPxpLd8DGk3rCC9mRI9e3SzylfyW5ChnTt7lFc99gG93v9XJpwMqTjddO3D6lLdrXVqc3wDS1xHjeo9TrQs5r240P+PgMluxP9g/71B4ZzmNI/JzNLdqkw7LLb+a57dD2ufmRd0ZtBASooaSbD1qq7lm7Hiu2N3QDzktRNdLoEgwYRkblJUtM+6L12+vYHb1zwEGU6JrxP64EVu7B4837fz/RNihtXprgZ0rqJaqWSqmQ3uqmRd+GrB4VR47jS0m/8JJXQ3vz0ZtwUaEKjnjPLKUmbCEwV0tDkx5QNUy4ED4d+7qiLw9kDfbHnlPrVlGHhusfs9/ZgU6MGWob06MMGsXdkyhtDmrqpkR0cqURZ3Dykxz1yH678xWWN5ZnqZo5Zx6BRi9i/6Oxiugyp9yC9y7ZbUhw4Nw+f1Y/hQECalCFV++UGpFpGSn2vBJedRc2wMNjffPO0NIyE9yL1o8YMqffYZdu8gHRYC8BDmz8Fvp8y/X9HwQ7TqstucExwUpVDVupvp25a+K/frsP+ce/81F9PveJH372wv9ng/Lb63+eYCkinDN+5M5C6qVHjDTq3U7CU7rr0Sh4jcE7XgnP1evGoG5CKiEqIqAZvDEipMEVfTFGyKcMqZRau26k7qmFjlNrtU7csxtlXPNa25fvvIue77F8u2Ybdw5OpHttYsmvL2r3SKwP0upMO9kWMJUzBLn9sLjjO+ybgZfeuwnWPrfevQ8Yfn2CQqgJSKe1MSjVFl92o015PxEyFBJHB7UurHlImHbeUhgyo8+2sQfuCK5hBDS7LsOwS12pFhE7VEHyOOldnDVbtjJvznBXbh/HEur3ec7QMad2QqBuW1vwpOUP6skNnYnjSaNj+OKosT++yG3xp1d9URQBv/OxFOHf1goaskdr2AdPAgBmeOVQByV1Lt2Pn8ETg+cnbqgc0Yc1ygn93R8waaCzZ1S7o4+Yh1ccIR2XwW8mQThoWDhm0x/sVPQ9pcAyp/lg9GBsa9QK5uIyrkpQhTZqHtNVr0C37xvGr57e7y9k4NI5vzl+F32iNsqIypJaUeGT1bqzdPRr6OaCCaUU/ThNOye5YzfS9F6Yt2bUC21G1TPzjA9fj8IlhmJb3OL3XgboR6gWkjcMO1P3AmXW74VElYriE/hmg/51zDClNK/1DlSW7na9mWE1lcSjeC1sPYvXO5sd/undkS3izwDdHWo450r2jU/j0rUvwDzc/1/C7YKAmpYws2Y26mIqij81xA9J+NddmMxlSrZwza/lwhguw3SOTeHTNntjH1Ayr4cIkqTw2eNHYp0WR1YrAEbP6Ua0ILN9+MPhUV7BLrRKZIfVtU+RiI9VDMkFxh75hjKRUGVI7QJiIKOlVDMtCn9PgJ7KDZ0iGZbazfLW9Z1/xGP7quqcb1lMzLNQtC4ZlafOQxmdIK9LC0YfZY8L2j6cPlNS29feJmDGkFqoV4Xv9rAn/jaO0GdKxKQOfumUxHl87FHh+mptHeqZSW64KIkMypFOBvwF92oxgJlxfrsoa6iW+al37x2r45ZJtqTKkYVnYutMsRmXkp2Me0rC/K/VeEDeGVF/G0Fgt9DFK0hjS4PuxylQGb6CElcGn9eiaPW6H2bd++2F84qeLG/529Llpo6d9AS694wVcv2B96M2gg4GAVH+dVVOjiZrpey8MZkiDU5UZ7nuX/3X7vb2bcPFTt+OMjUv8n1Pqxqkl3cC3FnEzXEpp91k48kj80abnAXiN0Nx1uSXD3vr1/eIYUppWvkHw5buWLp0pwywkC1d2X/jlMlw2f2XTz3fHJTaRYWtFu+cFBfwf2nkm9PaO2hcRB8YbL2bDumoGd1Vld/T3sDQBqdf91PtQV90Lg10h0zBMy71QyJrxzJIR+MmTm3DRTc/GvuZ102poyOEr2Q3LkAZ+puYdtf8tcPisAZz12qNx+6KtkZm46GlfvH9PhYwBtLeviQyp0fh8dbMkrPtycLfVPs92AoTxYKASkjFUHYfVBWfw81J/itpXlWGICi7VdqkbjXVTetNKJE77YuFlh/mblKTKOqqAtFJxA87gOWVajUGLHBv3f+/scb9pYNCo486bP4/3rnjE9xjDlJGdx9MFpI1jhQGvfFcdV/W7w2fZXUT1TKaeIQ0209G3w8sW+8fRWRZw67Nb8Olbl+DLdy1P3OawLKr6u5ntZEjbNw+pDP234pbsCuH729Qfq7/37hvzphJJ02U3qnuu4o0hDQSkWlOdLKSU+NsbnsH51z7pT64ElhMVkAZLZWumham6FZ4hDdz0Ce+ya/iWHwxIg9+r4M8fGEv0OaXPf7buWbzlL94Oc9J+HVSAWDOshgyp/p5oL8d5L9y3z/2ZCAakzlP0vy399WfJLk0r/QKOXXY7H0t222N4ot7QDCMLdUd1urPX+ofiaJumnPGNucnxPWLXsP0he8SsgYbfBS9s1Ieu3oxD/UvvEhvX0VRRr5FhtpYhXbRpPwzTgmFJdwxq1jHEwTFWYRZv3o+6aeHAeN0XsIQuz5QN7w/Bi+ug4Dbr1XwqKPmLNxyH/eP1yCxp9NQmQnuMvh2tnVP635m7XO1iOyi4DnVMZjkBQsMY0sDz33nnD/Gm1c+gKqIzpPo61PmqMqRR56W6eK2bFgxTom5a7sV6VNZZH0N6zKGBgDRFBYO62FZ/SxUR3lW4LxiQjo/5v9cypDONKbxh60pccfd3GvZvLCQraW9rMl8zKe0YqtdLXTyr1+Twmf0A/O+FluUdS/W8WVopYmNA2hioqEOxYa//GIQJ+xxRZdhqvXlda0kpsXDjPvfcS7rRo34mhP+Gg7+hj5YhHa01PNe/fv/3UdPzKCrLOBlRspv1uKjlr98zhjW7Rt2fBz+Hx6fMhucAjcNR6qaFuiVDP8eDGVL9fdZtajRl+m5+DQamfemvVHw3AtT7hP98A/ot+xw6bedazFm3Ghi2e0SoG1w1w2oYQzoVss1qrmKlGnhPCbsRoAfjMwfKGbqVc6+6wIa9Y75mAEG+sTgMSDveVL0xA0KtG5k0Ii+c0nDntpzmgFQPTvRpJ/KkzrbjDu7Gjg3bM41Xi7PLGTt6eFhAGnjPUh+6egmRCMuQpgjwDPci1vK6F2YcQ/rU+iF84AdP4LrHNsAwZdPNSoJTrgSt3zOK9139BL5+z0o30xRWdqgYlhVSuqWtL0VTI/0hKlt6mHOhHxUMqwuqo0b345hhb4xksETN2874IDmJ/jq7YzrVOkNWGjWtySznfGoo2Q0ck3f96sd4x+IHUa2KyBJh/Vv1PqDGqIael0NDgGG/pjXDft30gHTKsLB2d8gwAmdZJx7Ygfd+9gL/NqQ4/dT53++c8xUhQkqUZXKGVAWkRh0zIkp2Dctyp8QISprHVW3rYF8Fxw7vxsD997q/Vxkp94LeHUNqn6d6UKg3NVLnr8pUAo2NfuzyWvien+VGU3hAauKm276I9zxxt7vMPNy7bCc+eM2T+MlTm7Bx71hihlRKCSHs905fObb2UP0zbG/CGNLgSxhsVhT8PFTVMKYl/dnvJseQquBZCGDJFq+ZW/B9alQ7B33nuu+f0t2usBtIByf857h/2hfVZdefIQ2OIRXCP343rEGaJSX6TXt71XQtcsqfIdX7H7gluyFjSAfrU76fVQK3gfTuxn3a+a8wQ0q5GZ0y8KffeQSX3P585GN8GdI2lZFQfqYMk2NI22Bsyoi8cNJZlsT2AxMNP9fny5tO+gXA5qHxmEc2T31+X3/7V1D/ly/gYm16i1bsdgPS/obfBS8o1IfuTF9Aan+NursbxS3ZNb0517zuhen+tpY7XY13HJxA3dJKdlX5qAw/T4KSLnTVxe1zm/e7WZ/xmBsC9ZAx5kkXqcHOnPpD1EV6UtMmtcpnr7oAT/3gI+7PK4FsZZ82Tk9ptWTXCASIYY1EgqtI7LKrfzM1hZmTYzh0fNgp2Y3KkHr/VufrrKiS3fFx4MQT8fuPzXceL2E4/6ls2vxlO3Hm5Y827Isewb9k6bONv0+gtq2/ogek/seY6gJV36kJ//nsNsixot83TUs2lkM74l52dePEMO3qgw8v+hV+5yIv+Favl3qfUOfAYc7NLb07rBEYQ1oR/vcRPWsI2Bf2wbkq4+YvDQor2Z0yTPzRlmU4aZM9LCSvgHSDcxPyi79cjrd/55HQTsQ6S3p/k3olge89VDu/VMlutSJCX6/g30DjPKR2gLfz4CRqhoWxmolDZ9g3A/QsqRUSmKWhtrUiBEa1LGjwhqZeNq7/LeoVBZa0z5W6GZ4hVSW7V//16RioVnzDOybqah5SM7Zkt1IR7tQ/uuD7ocpszq7bf3NWre4uryKcDGngPSXYZVdKYFbgRlEl8PmmjrsppRso65nfYw6b2bCtZcCAtADqTfSR1dGNMOohd6mo86g7i2xqlD/Tkpiom5EXTrr/enQ93nzZQ1i/Z9T3c73N/HTSA7dtKQKgZqgPyyMnDuIlE8NuYx3DtFoqE1Ylu2FJtIaA1PBf4CvDk/XIDoFR9EnT1XPVRUKakl/AbjAEAL8zZxBmSMnu9Qs24M2XPYQXd8U3ykp6z1UXNFN1C2O15Axp3ZLeuCQpcXC8nhj8+QN6y3ehrRocqcA0uvQ0/LhXAp/8A4GpU+xtitydSGGfW+riUgUbf7b2GfzOyFDoOtQuuiW7cU2N9tjn+yETo6j6AlJEPqfunq99DdsLABgZAUZHMWev3f2z5txorJlW6DhH/4q8ZVVqNRzR7w+ekrglu332aypEWBMnJ0M65lVdyPHgGFLbgOEFYPWK/+/TsOLGkEZvo1vK7NzsOWxyFJWJccAZW6duHqrAQ11Yq5JdPUupT5sxWTcxo7/qa9yl9l2d4zWnAZG7LTI8QInq5RDW+Gji/7P33QFWVOfbz8yte7dTdumgiL2h2GKMxlij0Rg1GmOiMcUSNcausfef2LD3hogFEQsdpMNSFnbpLMv23vf26d8fZ86ZM+XuAomJycf7h7L3zp0+Z87zPs/7vGkVYVVGtpy0bfOfDedqnMftDI2THwehY0Cy11wPf+9a/+4yTY34RIxt+46/XS67uo5vNjbhtGcWobmXvJ+KTZm5VxuoPSVFGEPqWJ8zgRDPcF6czCQpwSA1pE7gSAFpXjiAgE+wAbeMNaSOdYiCwJQJtuCZWgOMIc1S7AypTxAQ9IuuexTw7kOa5WRIHTWk9BbWdWtspvf1ExcdgYvGD3fv6/9A7AOk/4HYnbo2uyvbPkD6Q4wpq2tx9CPzTfn1PkD6rwp6HulE39lnzCtKqsgEt9bBRqo/AMluX7WF/4oIKbKtvcP7K2tw1nNL9np9LSZD6rXfzgy35CHZnb+1FSc+sZC1EgB202WXu1aGOUFj2eHdvH7U1TE/K2CyOHZToyUmaG/oJ0nQFyOrajqbcEqqxhgACkid4JF+Ro/h/ZU1OOqReWiLSa5+jfZ9sD6TNTs7NKS7BejqYucnE6Ob6bQJjnSDl/nT3tSQ8ufNYqXJ31lBH0Rdw7tfPIKpn9xLvnNMnekEODsDQ+pPcc+3CUhzk1H4RbGPGlLr37SeizGkzvMmk4m+z5wwyqahES/ZzRiOe2ZMwFp+d2pImWTXZzGkzkugU0DaaTnjCg5ASq9hkGNIdcE+1dN0I2MCpa/5Br1PVc1AOCAiRzK3bQJkp2SX1ZD2I9lNKRqyAj5bfSxz2TUZQ2IYY58XKZruSoZ5saZk2xxDOmsWcOmlkOMkgRmRUvjF1iXQJA8jt70Yv50AznncruUNg0l1H5j5Ita/9FsENJLUk1Uynqi61Z6GSnYDPnG3TI0GzJqBvy3/mP2taAY64zLSio6mHjLeDzGNuLxMzvbcpdxiSHmFkzNZwJfjqB5jT2GyF4PbGglLaj6H2SH79aY1pD5RgN8nQlJ19iwxya6s2Y6BlnLQEGD3QaCRiSENmcDUMO8Xn8mwyqruOlcuya4BhFW7M7bLZdewzrv1DiSfDcoJumT7/yuxD5D+B0LlpGmZQrZlmr/3XdoXexHvr6gBQCSOVFKyT179z8XO1hgOfWAOdrXHWQY/qWj9nlc6oXaCKPpi/Hc7IPPA7fsCw8z4R5NtbEhjTwpNvek9BhT0HFPJrtdELBNDyvdF600pSMqazWxidyS79BrRiaooCIwx8QJcXsdHuv9tsQAAIABJREFUASmpL7Ma3juNJrzkWXz0NTYf8I/Z+M1bJQDI+WA1pIoGWdVx4hML8XV5E1te0w3TmIOs89uNzey7viS3fB2rourgd+nNBy4FDjiAA7Te91imiaRze17mT3szlIXa2zCqmxwfve/pffr823dgzrs3AQDGmMtkkuxmebR9Oa5+M/5x2fHAggXkA8qQJmM2hrRPt+P+GFIKSE0pHgWjvGQ3YziuwQmD3DXYAIB164BSt7ye3v+0PlgQ3MCG9l1Fh1UP7JTsGgb5Dz8mqF4M6V5Kdg2T2Qz5fciV7YCUXi+nKQxlx3mlhK7zDKmOcMDHeuvyvxU4QGprw2G+c529OzMDUi6xedFFwLRpQFUVAGD01lK89M1E5C6ab/tNR1zCgffNxoerajKfFI9wPjsxSeG+8xrLLOB9wcaFAICQqkBSdBx432w8N78CiqYjK+hDwCdYDKnPXWdM18dH8eyvcEW5VetLTd8AoNOU/w7xYEiZdHQvGVJRBFKydT2c1yZhM7niAKn5/9uXTca9b9wNwDQY03X27NKg75mAT0DAJ2JySS0ufn0VAM7USHZIdn3250EQBNd9BLhZW79DBq8r5DqIHEPqfFd5zT3cDKn9NwyQ6gaCPnsNKSu3SKWAF14ALrzQtf7/1tgHSP8DQW+svow+/ptcdv/84To8NXv7f3o3/u2xs41kV/nasd0xb9mbmFxSizF3z/ynGoD/N0R1RwKKZqCuM8leVobh3RaAj5A54XEyeMzUSP33PkO8RErVDHxV1ogJjy3IKJPbmzAMQNQ1hDQVQU3BYS2VgKq66rd2J6asrsWB981GXWcSbSaoc8ruAA+XXY8aUrYsdy12R3LLGFJTsiuKQkaGtLIthv3umYVVu+w9FCkgVXWD1bnxx0DPSX8Z5v7OHZ0EyarOZGdJWUVK1tCZkNHQbYEEuu90MsYzUxQYZ5Lx8fvjWqa7m2X1MwF+LUMyxHl8XuZPXvs0acFOjLl7ZsYE0UPXnYmlb/4ZAHDei8vx2uJdbHJ5TEUpDuysI9sX7dfFuU3GkHJj6wn1m8k/lhD2/9kpy8myyRh8grcRSVBVcN3sN4kUF9b9StefEZAqlsmLpGpQdWOPGdKTii1AajuVxx0HTJjg+jm9hkE/ddkVPFx2TYaUB6Quya4Bn6HbjFI0JyDVdKT2wtRI0ywQGQqIyJbN+9zJkHKO2XRZwN6+STOsBC6R7Io2hpTuBv1IcrBPmkHagQR8IlbcfTr+fMp+tm07wwZIDz4YABBZS3rPBk3mXezutv2GAr/XF++yfT7m7pm4c1q553bovmXattfu6bol2aWy0KCmYFszqYn/uryJyVWzQ35Ositm6ENq/9AXi6IgZZUpKBw7TR17KUPq1Zd4j112KSAVBFbHCfQNSL1cdgcme5Ef72HfK5rBWGIalIElLCU5iTUdCdt3TkWAVx9Sb0DK/9syNaLx4OcbuG2bDKmrhtTJkBrI6q+GlHs2gn77O9AnCsCqVUB+PjB7tmdy67819gHS/0DQG8swgC83NGDM3TNd8pn/JsnulsZe7HLU7v2vBz+Riu4hE7Q38dZSksnl3fX+F4PKdOOSajND6K+ONBNDSpmj3TXF+VcFvx+KruOb8mZ0xCVsbvRuz7E3oRtgUt0jWnZi5ge3AA8+yEDjnjCz321rg6obuGNaOZs8yR6JM+dkjzGkHoCUfxHvDkNt1ZDqjDGgBi/O54qaF726uNL2OQXTNFNN7ws6QWTJQMre6QbG3D0T7yyvtq2HTsQu3TgfaG1lnzvPKc+QphWNnSt+Oec2eZBFGeD++pA62SEalFHKaGrk+PjZmc/hRzVlLkaVAuP+AOnzCyoA9J8govF/c7Z79hFRfGRSOaOsERe/ttLaX8aQuiW7jEUwjznR0AIA8GsqstU0Z8BibfDy8jn43dJPgSefBMDVPIcytH2hNWGKNc5SZrTf9lOOczo+33omduet4JTsZqoh9TsAqeAyNbLXjwJ7xpD2WUNqGBbI9HOSXVP6Sssr6BhEnzuaGOITJLxLbkrRkBX02RJFXtJH/vHTdcJ4B30Chhdk4eAheWw5GvwzY0vmHnYYACBn/RrbNgSzjQcN+sw29dollgDw2boG12de2wXstZL9mRrRCKoKyuoJGDt4SC4UTYffJyA76GceAUHf7tWQ+mNRhDSFubuqXK0j7TtdxBhSdx34nqoleFMj/hl21ZDa+pBy1808goicRkhO49rV03D45hIoGlG98PcJ3beAT4TffHZ4ZpQGP+46DdZEQUDAJ+CYxm0Y09Vo7Qd33AYn2aVxwbaluKx8LgGk/gySXfMeonP9uKQhSyXn/LprJpLtwzr2SzfOx8jNpWw9dDyg504QAOzcCSgKUF4O5OXhfyX2AdL/QMgcW/Pyd2RCVdtlbw0ha+5B4YcasbT6g9/Hf3XUdllZaZs08XuqF6STFWcPuv+1oCA0Iam27Cnfr8wrGCB12duT+/I/KdlNyxpW7SITyI0N/zpAasBgbR1yKVOxfj0DC3tS+0TPT01nwjImUewsB/ksQ9uXoBdDyrPEfe+LYRhcix4q2bUAm/P39J1fbk7Y6DKUOaAukiGHWQ+7H8x9o+fq/xwKD1XXMaq7GRNnTwJ+/3v2eXfSnhBKK5pV6yxbTtv8OVMd9yBfU+XvgyG1tc3RdM82LF4tAfig8msaF2/+Dh9/el9GhnR3lTn9yle5KOOuEQ0KkDriMkpru9kEngHSgA+iYD9XrFefCUgHpKxnqSCdYAkN/tBy6HPhSBRYNaR9M6R89GsU5lhXnprGO1dNwOiBkd1CpDbJrqZBhJekWSftc5ot2bezhtQwDFtNOQBoDhcrTTcy1ub3Ve+q6wYDGyG/DzkOyS5VC/Hye7Ksl2mWxdKlFQ1hv6OG1LCrGpx11LSGlJrRMPMXPhnIPYe2hEJ2NgCgcIPdDVmM2c3OvO7z3SnL8Uok5JpJkEw1n842vUFNwQbz2SnOC0M15cl8zaw/Uw2pYx8DMQK089Nxc3vWs0ABKZXs2hyBHc+lV3QlZJw7aRljJQF72xceFDoTxvzf/BDG6s4VCSFFwj2L38fDr97GzoFXyYVPFJhiRNZIHanTFI1GJob06VmT8Heu1paOS0/O3oYXFux0SXav3DALV5d+A5+mIiS665wBK5lI5/rNvSmETVOkVJC45dKxLUdKYuLsSbj2/j+w9QQdrc98osAUH2htJUzp/0jsA6T/geBf+rT5PJWasWVsD+oPF+zpuoG4rP5/Z+hDbdcBy+UN+P7qBWmP0z2RYf4n4pVFlXhlUWX/C2YICkIJQ2oN/ol+Wr/QQdvJpDIDse9JsmsYBn73zmqcOnERNjZYE29e2lpa183YiI3/QobUMICQs8+g38+2vScgnDoBdycVNqFnDCm3HnfbF3Jc3pJd74mhV/D3tWbKU0WR1JAe2VyBUx+/3Tbhp+0jommVmSdRcw7AqpEKOsx66LHQfaMTTqeEV9MNFMeJHNjgZHwU8PL7TXc9pWjsPuuTIeXu0QCrAXWfE54xUDRLsivqu8ew7miJ4e3l1Tjr0GLb54roc41TlMHir1lfooJMEz0aAc1e0+wMJ2PnlJkHfCLCAZ8NXArU+IMC0iQPSGOeNaQMmIVCANyu0K770gSkououjdhTQIpYDD87pBjDdrNFA92XcDoO+P24atU0N7DRTIa0ro59JqQ9GFKHtFAV3AxpJtVJX68YKoUHQEyNMkl2VScgddco0zpvwJshNRyANKeuGsM2reP2015DGvRQyfAJB1s5jUKub06jdR4BQIz1YvKqGlz9HmFOC95/G2M768k+co6t/YXXOcw3jZ0ymRo5+/SGVJm9U2g/XL8o2Hq10hpSZ6LauYVAggAYCkgB6zx1xGX4RQEDc8hcVPJgSIHMQLy2M4FtzVHs4JzLeXkpP1b09U7irxW97SNK2mb4Q8+BE1ACVg0pjaTp0J8b9ruWPe+B64n6xQxaQ5qlSLZxhT5/JVVdWF3dhYCDIQ1pCoKaiqPHFuGOz5521ZBaCUODHZMgWDWk6XCEfGZ+eWoVkd8ms/Os9k2OshVR4AApsA+Q7ot/LvjJAHWfc/bGc2YSf6gRl1UYxg8bNH8fwb/MeUD6fTFxzkntDzXmbWnB3C0te/17CkgTkmZnSPuR7NKB3zlp/L5ddpOyhmU7O1DbmcQmDmzyksZmEyiNGRjBpgY3W7S3YRiGu/G9388y3LsrH+d7c/LsgiX95RjS3Wz7Qpbtv7b67i82YtWuTgejqJs1VUSy+/mUu3Dw/Bk2mSIvk68xe/7xKhNZs4xXAGs8pUwrq+c0J0vOCZ2iGRgeJaY5RkEB+7yrD8l8SuYluxy76WBn+QkaZXc8XXb5dWg6m+SGOLBEjSG9ElWVbXFouoG/n3mgfT/9Idd1pAzW1e9aEsa+GdK+n8dcyWLtvNxcXYCUSjx1ayK7X6wNJ9eUsWVYTaRpSDKQmzge0LSLXVvdC5AGyWSbJvayg31Ldv0cQ/r+Zw/ik4/v7v8d5wFIaRgwsLSiHbd+VoZMQfc/3EvGiBu++9B1DXTDrCGtr4d8wDgAbsku4MWQ2s+3pul9mBplPk5NN9h+hnx2l11Nt1obuQApNRdj5UokkWMxpDpCfmfbF9h+c/3NF+Hqu3/P0IqmWzWkgLs9BuAYA/nDUry9GHyxGO7/agtpyafrGPvQnbh0EzHRomVJ/SYmEgn89YpTcNqudbaP6VwvE0Pqc0p2NYUlzGTTOTboF20uswLIbed3OMTatmEYCMXJvViQtu5JqnbpjEsoiARYUtGrhhTo3yCNX5aOR6IgsPUd3lKJ0SWLPNfh3GfWKkqxKzzoOaDjVZhzy/WLog2QpmQNKVnDoJyQa1sj1i7H+CZLFSMIpGwhqCu2c0QPyTDIfe+sIQWAkCm/PWPNHFPJYh0HPaeyZkl5RUFggDQVMhlSE3T/bBcZf5tGj/NgSDMA0n2S3X3xzwQ/YOaGySDV2JPOuMwPGYNQGczu9gn8d0VpbTce/mbLXrUu2J3gJ1m8ZHdvLOJ3J5zGKD/UiEkqOx+dcQl/+2TDHhkx0Zd9QrYzpMl+stJ04uGs8/LqQ6rpBu6ZvhGVbX33otyd4BkzXt7FZ5kpABk9MPtfWgPsxZBqos9iSPu4V15dXInZm4jsrztJJj7OFzczJuFrSDNIrrK8AKnD2MkZiqbjk7X1WFLRbgOsqk5MjXyiAFEUEKKTa27izfcUpGCab/mjmDVSznYm9D6hYJk+x052QtMNDO9tI7/NJ4B00Y423Ddjs+s4aKR4ya55PCsqOzBxzna2Tk03bJNkCoT760Mqa1YNaVi11BmBNHlveEmiWQ2SYQce6UDIBRLpeYpxz1xfQ2dfPVcB4JjG7cgz2RivZ9cJSNOOJIpfFPDlS3/ClE/vYzsicgypqukoSMXQE84BANzy0eM4bjVhPHjcyCaQmRjS3ZDsnlZdihPrM193Fs4TZk4aBYF89ft312D6+kbb8h3mGBlNK+zeCSZJYiWsyi6mjdWQ1tVBHb0fZNEP0aOGNKD1X0OaaUx1HobN2dYwWIIl21Dgp9ckkbCtjz5fmSS79Lh4yS5hSDmXXcczGzCvycjeVrYORdOZkU3I55bs8s+Q7bBU72MXY1wNqSmFpqC70xzr+zWmq65GTncH7v/uLdvHBVlBc7+9AKnlJkwjxF1DSSPth/yiYHOZ1Q2zNYizsTC/iXQaPjOJVShbSTv6vupMyMjPCiDkF3HJpgXQOq3EHz1/gqFD03RUtsVxz/SNjh7JbvUWHY8EWMnk60s+xzlvPuk6dus33LXiGFLbMub9T0FaNncueMkuzO0mZRUDsh1u14YBv5RGtmytm/QhFRDQVBRwLDK9VrqZQPF7AFI++Xb2zA8hSNbzSEtZZNUuNw9ThtSU7NKxbZiZBM2K9iDr9NNwcFs1gj4R9y98C+fd8Gt2nLRmG8A+hnRf/HPBP3h00udkSHnJ7g+ZIaVg499tGtNfzNrUjPdW1Hg2w+bj1cWVWF/X3ecyXsGzHHva3mJv4r+FIY2nVcYYr63pwldlTdhQt/usYEbJbj81pPS8uBlSt3y1NZrG1DX1WFLRgX827IDUXSsT8FmSpZyw3+Zc+/jMrajvstd/7UnoBlwMqSKIHEPqfa+omo6n5+zA9VPWA7DGnnFFOWyZkF9kGXRe7ux0Me7L1Mgu2XXvCz1fKVl11Vx6mXxQWSBAGFI6yaWS0LquJIJ+EblhPzvnzD3WYWrEakgzMKSqrmOEOfFNJ9N44KvN+MN7a1HVYa/15yPpIdn97durMaOMtIC5dOM8qJu32H4T8DATsvbBgE/X8Mb0xxBaX8reA/w1z730IozubsKG+h6XVJ5O6P2yvRwkFQi5ZIeUSbb93vHesdVF98OQvj39UUydSnqNeqkbVNEuo7MYUnOffSJj+YriXQA4J0qfDwlJQ0iT0ZY9gK1jYCsxmeF32ynZZTWkGUyN9LTb1Gi3w/kONA1yBCFDCaks44OVNfiqrAmTV9Uy9jaU4iabjueGuezW10MfMQJpf9Al2TUM7FYN6dg1S5gc1XYYjuvuZL7omJqncNtNJOwmZqr7eoqCdb55sxxdN8waUrvLrlW/aKoZskjd51HNFWw/FS+GNEPtui05nYkhjXNJSgpIzTpZ692k2bbnCnPdeZJ9rLAku+6f0L7LfPDXUDb7nAd8oi1xqOokUeVmSLk/ei0lwUAOkNLnOZpSEAn6kV1XjWdmvYBj7r2ZWw8Zg6qfvgC+hx7Esp3tmLqmntWdkuOxXyeyXyaQFbj3n5xCKJl5/HTWBwNAxNEeRVZ1MjaY5z7CscUBn50h7UpI0A2g0DzvNGgSN1u23r2iAFx+3ChkGRryU+5ENT00p2QXsAPSK798FacvmcH+Pqi7EQOSvTYPAE03LMluKAs6BDa2UdOk4Q274F+1Evcsfg8Bn4A/rvsKQzeXsn3dJ9ndF/+y4Cdn1FiATgp13cDEuduxvYWXDewZyCmt7cJn69wvmu8jGEP6A5Ps0ppcJ9DnQ9MNPD1nB3716sqMy2QKniGwu+x+XwypOwv5Q4y4pCKaVqDrBgPqbY76aGcs2t6GeabMlwLPeNpuasRbx3sFA6SOBATN5pfX9+CjklpzG6YJzR60YDEMA68sqnQBSB6Q1ncl8cKCChiGwV722SE/myDnhvzMsGdHawxvLavGjR+vz7jNxp4UXv5uZ0aW34DhYkgVwWeTeXkFbVfEbwcAxhVbgLQwEvR02XXXkPYFSPvuxUonKgmOWQTMukzdnKBJ3L3DAdLelIKRAyI4u24DfnT3dYBhoLYzgVEDIgj5RQaYmLtnhhpSug9eNaQjTIa0p7kDH66qde2/63gySHYBAIaBJ+a+Arzzju1jVgOagSEd0duKs3eWYOxNf2STTB6Q+pcuwc8q1+KrsiZMnLsDum5gckktyut72FjhlxyA1O9mSL0m186hpjPurQbIFIe1VZHteYBXdw0pWYa1FOmwnI3H9BAmn3fZjcsqgpqK7vyBbDnKAtH35V9XfoqTajeRL/0EgMqqDlGwGDvnfanLdslurpR5Au2KDJJdwQAmlC+zamBpJBKM7WqPSZbLbsJ6Pgtb7O9xVTNbRrS3Qx8xEulACD4HQxpesRSffXy37TPNo4b05uf/joVvX+86DMMg491LC3eiuTfFrsnInhaI1VXs71zJDkgtEMKZGpnXwicIKEpHcdYzdwO9vbY5jabrmLBlJbJ9hqOG1NpXAOgaOAQAcEQLSbzougFFddeQ2kyNMjCk8bj3vMDPMaR6LG4epx2Q0v97jXkAWCKCByoAUJDVRw2pbibgeLm56g1IRw+MsM81833id5j82OaMPCCV3AxpWiHuvUEK1BrJWEfmkQ2sptL/2qvs3C6taGe9lumY52Xk5hPJuJgd9CFbTiHMJ1sMAwd0WDW8rrYvhoGI7C5lC3KmRk6GlB/Hmk1nZKfyh46f2YqdIf3FUcMQ0FXkyUnGhPIMKeDuQwrA1l4JACSfBYA/evZqLHrzLzaGVNUNwpD6/dD9fmiiyNbhXL/kD9pAdlhJEzXPPsnuvqBR2RbHtNLMlt/9Bf8SpHUcFDg19qTwyqJdeG5+BVtmT+szL35tFe6ctnGv929PgjGkPzDJLs3gNfdmBqROgxI+Zm9q7rNFh62GNGWt5/t2c90TF9+OuIR3llf/S2TLvSkFryyq7NMtVTONMgyDJCooU9oWc1vm8/Ha4l2M3YlxL32eFX1hwc4+WwtRAJCJId3VnsCj324l66aW8P31FeSiriuJiXN34K8OANnJ3UOfrK3HCwt2oqy+hwEe/oVJ+6dJqsYmXn21krj9s3I8M68C25q9pcX9MaSZ7sVNptMvfalToDFqgDXRKYgEPNvHuPqQ9iXZ7cfUiK4r6TBFU003TZ8oAJUc68czpGkF+VkBnFO/AYeunA+0t6O2M4nRAyII+HhASo7xi/UNqGyLs3GKAVLZG5CqmoERUQKKDEcriEyRkjX2fEZTCt5YYvUuDGkKAroGo8euFqCTjbxvZmDy9FU2tYWmG2xSKqaSbEJz3rhC2zqGR9vYvzviEu6fsRmXvL6SMaQ+2f78pQMhl+LA2QYBsCZh081zxxvveYFMQ/YeT5OyBp+DWaBtX9g+MUdn8v/8DVb93ehuMvFl5iY+HxKSioCmYuQBw4GpUwEAuVGidDEIosItKz5mfU+pRJNO6r3622bJaRg95uTbPO9DTQkdADeg5ELXDTR3JxHLH4Apx18ADBwIbN8OdHXh5JI5uOeNu/HbDbNtv5mxbAcb0zriEtsXHpCe/tnrNpCi6QYG95r7NHIkUoEQRAdDOuzGP9tkhwAnd+bWk/FYDAPtMQnPzq/A/K2tUFUNQVXBE3NeRtHtN7P7KsIxTEgk2P5nB/0uxtsnCnhi5iQcuWAGsGCB3SNj4ya8NOUBHLZhOY7cvAp/XzaF7QfAgRszWXBIWzVZt2HWkDpddh1jCQ3+NVhaaT0zfPg4KaQSJeMulezSdz59x/D1izTmb21FZSW5X51jc381pINjnQBXr84bUxFAaiDgE2zjNDVVCzjGL9sWuDHn+HwDX8ybiMmf3IccM9mRVjUERBF+kx0WTYb3o5I6lNZ2oyhhPleRbDbe3zFtI26eSnpwah7JclvbF0VDbjiAbDkFv6qwMe3U6vVY8M4NOChGEk5O06SgplqScHq8GgHPdLziDZ4CDpa4JQMgpexkhBsXBQGAYbBjp+w2zTHRSxbQ+p8zOB+tfCkBiQOkmm6QsotIhLR2EgTmsutcv+QL2ED2sGjHPlOjfWGPD1bW4M5p5f22MsgUMjc5o+warS2LcvV21Ib7h2wYZDGkPywpKQWkztpcPugEy6uTyvVT1uP8l5Zn/C2dkEWCvr1q+1LTkcDCba39L+iIPQG8f/tkAx79disq2/rvEWsYBj5ZU2c7Fj5u/Hg9Js7dgdLazPJmHgx+tLqWue45HaTpspNLaqHrBqJphb3snZLdPNMhr7YziZ89u4Q5qjqDvihjDkDKPzuSqkNWdcaMJiUVLb1pfGNmevsKep8764eo27LThp5OyHgDihzzWCRFZ/vbmZDxyZo6z6QBNXZwthoBiOz42/Imm8ENAMgQ2eQ+071Ybhor0QkSPSbah45+J3m0MKGuunFJxSdr6qy2L/30IaVjZVs0ja/Lm1BW34PllUQyHU2p+GBljbWsbkCjjMFnn1kr5CaL0RS5N0YkiZwTVVVoj0kozg/D77N634X8In5UU4bIpnL8/MVl7Jj6ZUhlBcPNib8/FvWUcfEhCKbLrnmu5m1txZNcKxmW6e+1J7kCooiInMIBN16D8Tf8DvdMtxKJmm4g15z0i6kUDAM4dnQhbv/JKNs6eEBaUt1l/d6wT+RppP1BF6AMeUyu6T15+yfrUXL2r5HcZMmNXZLddBrKwoWudQAEqDuZfEMQEFbSzPjFyZDmrlkJ1QSt+5mAlK8hjZuAVAyHgcsvR+PQMciNk7FJN6wEAAtzoimpxBQlwNoJWff2tucvQeC6awFYkt1hHCDNltOe5l0AsHB7Gxo6EygvGIkXLriJTBK/+Qb4059Q1En2n0qPabz0TTlLbNd0Jti8wB8nCZDZ48/Esctm2pIymmGguNtMlIwaiZTfDUiNoKNmDkBA907UeYVumO8Zw8Dg1csgvvsOlr9+DYoSXfC1trIJd3aaY48TCXYuc/zAqVuWAUcfDd087z5RwOk7V5s7E7Cb5TSR85Of6MVNE2/G31ZOxQVbFyNnHVmezi3CafIsFKaiuHL9TARqa201pEGPGlI+EcaPsM4ECQ167gFAiZPjo89g3MGQeo15f/5wHV6aUeq57pE9rchLx717DhsGTqgsZewq4JDsarrZh1S0AVLqSO7FkKqajo9KaqF2We/sn7TvxLEbluCU2jLst40YbBkGcFhVOYIlqwBYgJQe56AEeV8Y2RHb/CM/FQOiUXZ97DWk5N+iIOCgqk344LUbMCBFjo1KoMd2knt/qBRz/d4w3IZGAJirMlW+8IDUJwoYXr0N9373DmAYaDVbXg3OdTKkZDzM5thXURBsMu4Cc7zfHYbUGaGUW1VBGFKw4wzLBJCKggBd8LFklxdDys8thsY6iPnVPoZ0X9Bo6klBN+zsyJ4EP1GkQDQhqzAMg018p/zpBCy47VQAe19D+s8A2Vmbmvt3k4NlLvLDY0jJee1LsktBK28SAPTfMxEgkyxRAPLCgb2qIT3z+SX44wcWC5BWNEwrbejXtGhPalSpyQsFKCsqO9DQ7a5ZLK3twtwtLbh7+ibcMKUU3260AzRF07FsZ0e/2+fvl4lzdzADDy/J7sNfb8H9MzajpLoTsbTqAqQJWUVSVjHI8TJZXOGd2aYvyrjDQEnRCFsSVtJ48eunIf7kFM44ScN1H5Xipqkb0OMB+gB0INWSAAAgAElEQVSihlhf181AIS+f2dLUi0Xb2xH0icwyHyAvRknVEPDZJUQWQ6qzCX1vSsHd0zd5Jg2oCYYXIL3q3TWo6kjYDG4AAkj7Y0ipKy1NftF6wkHcMRRkBVn/NC+G9KnZ23D39E34bju5HhHBwIK3rsO5260kDi/ZDbQ0AWeeiX+88C1unroBv3xlBe6ZTuSUyys78NayarasqpNs8pBoG/DYY9gx7ADyhYMhzcsKoJhO8qurkVKINCwgipZ7rk/Ex5/eh28/uIW0TnC4gGaqIQ3VViGoq5B8AQxtq0f5i7+xycucMSw/i/QhzZCYo7VQeq+dbfX7BBSak5/hvW3YwZVqqLrBZH++VBLDGipJ8swh0eRB0wrzOR01IGKxUw7Jri64X/veNaQElO7f1Ygry2bjsJuuYd+5GNKbb0bw5z+3faQJtBWT6gKkAU3FE3NfwfvTHsLYjno2RtF9zlm5DNsPOgZVhcMwuptKdjlAmiaA1Bcm40M8rxB5sR5zvw3L/ZXGO+8AgwdDkRUEfSJ86TTu/e4dBJsb4RV+RYYgAMNiVp15rpRgzzAfq6s6Ud0Rh2jo0AVTTmiCLMyfj5ApbZX99lq2bK4Gs7Itzu7JgMlUrT3wWPIll4hRdQNDOsx9HjsW6UAQvrR94m4E3IA0Akc7LO6ZPoCrHX987ssYf9NV0HQDZ+9chXP//ntk3XoLihLdGBrrhK+nm12jSNrOkKq6gbGd9Sh54By8/MXjQHk5Qh3k3hR3cUqHZNLGhiltZJkxmyyH5xe/eQbjr/gF+Z61wyHbGx5tx2PzX0PxZ5NxxvKvETQf3aAqI6Ap9kSYrZWItc2ArkEW3dcywNWQauakf1CiBzet+hSSCVAZIPV4ZgCuJzQI607j8stPw7LX/2ibz1W2xbChrhuGAQiOOl/+mVElGaeumYOQAJtkV2WA1JFVN4DP1jXgvhmbsXD1TuvzRYusY01YY9GDE69H6D5S8y2ayRj6jA/2YEgB4M0vH4d63fUMSGoZmOmHZ76Egxoq2FhNgeDQGLnu+Tp5D9lazBiGy9AIoAoH3tTIXkN67PrF+MvaL5Ejp9ASJeOeiyE135n8+gVHeQh12qV7ZAHS/hnSiClL5ttzjTv6QBxau9U8Tp30IY1EiEuyIDD1h3P9aYdkd1i0nXS92seQ7gsatOaqNdq3FDFT8BO8TpNhMQwiCaGANDfsZzbge0LE8gNGf86kNHpTClZWWi/esvoe3DBlPZ6Yta3f31qmRt8fIO1KyCit7ep/QTMUTWdy3KUV7baGzTTqOpNYYR6zM9PZl5SXRkrREAn6kRX02eqp5N2QdJB9pNJBDSsqO/DLV1bg9s/LsWJXB5p6UkwuvLqq08YK7kmNKn1x9qbIS/qa99fapOA0Ln5tFa77iEhRV1R24saPN6CaO2f8JLmvHmzO+k0a7VE3IF1nMq0NXSlE0wp7+VlZaA0JSWPNxGm0eawL6MPUSNdx7ZovsP25S3DBtqXwr1rJjiclawyU1Xd5Jy6emr0df/+0jN0TPMC8/fONWFXViYE5Qds9pOoGJNVsYyB6AVLNVYPX4jGWUAaTP2bDMLBoexsausn+OhlSSRAZ+6doOjbUdaPNse5oipyjtEKAcVLWkBXwITdkTZgLs8m/ZdPdka1f1bGysoOx3g3dKYgCUNBYgwO6GvDUnJesZRUdEZk0AT/p4VuBBQuwX9kq13Hawszs64aBomgnoOv45oTzyXcOU6O8cAAF3WRSo1XuIr0MAz4EfCJS5vnlgWaYm4D057IbriIT6LJhB7HPRvc0428/G4dLjh1hWzYS9GFIfhhpRcvISlOGtLelw2Ykc9eLt2LG5FsBEBlrK3etNV1nwEowDDz98JUY0VwDOAAIrXUFgBW7yJgW8vvYJMon2Zd3Gt4AmWpITVdgk6n0cVJSiQOkum4gunqd6/eKz49I0IeErLnu06Cm4EAT4Gepko0hHZjoQWjbFuw8bAIa8osZA8xqSA0DCUlFUFPgM82K4rmFyItZDGm2o/YMW7cCHR0QE3EE/SLyX3wWf1n7JcZ9bHdCpeFXFUQCPhvYz5USTOXAx2VvluCJWdshGgYMwZQT0msUj2NcJWG9C1Ix/HTXWvY7fkKcVnT2nPricUAQEM/KJV9yUmhN1zG0vREIhSCMGIG0PwSfsw+pB0M6OGS/vry8esEZhVjz8u/w9Qe34Ldlc1C8eB4UzWBtdQRz2TwpAV9PN3QT5GXxgDQeh6rrGOdI2kTaW+ATBQhLl1ofJhK2mmm5jdyz+63wZtg109wrbII7yrSNemMS/v75M5hQSkBW0eW/wqPzXmMqCMDh3Mqt06+p6Iq4maVAIs7YKjVK7veiRDduWzoZuUsXobS2i6lwwgERmm5g8Y42G9jlkyFDY3bjvHwpYUswnPHcUlz06kocsm4xDq+zG57xz+mZy77CPVOfxClLvkRuOICInEJIkUznbthcdq9e9zUKlyyw+h6b57crlxiA6WZiJJDwro+mPXhpkpgCUj0SsZVhjOluglpZxc6xXbJrzW+ctbT076FRsl/5Brm/nI7ImQCpXxQxrmEHrir9xkYm+EUBEa69Tasp2eWTxQAQNgF3jpzCrzYvRFBVCBDk1CvUIZxeV0uy2/+cOpyyXLJpBNpbcUALqakndeBUsitAE0Q2tjnXL/mDCAnWeRka2yfZ3RdmrKvpgqLpjHVrzTA57i94UDEo1o3LN5M+VwlJRVwig0FuOABRJPbtvqQ1gJVUdXqCkrL6HqQVzQaS++vdSOOp2dtxxdursa2ZDPR1pnFLpsk/H1bbF2uf4pKKLU12aZphGFhb07VX9YxXvbsGF7+2im1jU0MvEpKKdTXeIJUHlFuaojjr+aWu+oSfTFyEN5aSAYKXVQIAHnwAj8x7rc99SsoawgGfC8zKqvfxVbbF0O0BdHuSCv7w/lpmYtWTlHH+S8tx/kvL0RpN47I3S3Dvl5vY8rsLSNfVdDHmtjeloKI1BknVidmJpmNthnNHgweXtBYDcCc5yut72GSS3rvOaI87JIOKhkYTUFW0xhCXVLZeXrKbkkkrgKBPxC+OGoasgM8TuAHkvGTJaYzbWW574SuagV9t/s627LMmKE/IKopziUyV72HJR0N3Eg3dKfYsiIKAdTVdaIul2fMST6u2GjxJ0SGpGrIFHe/+40L8bv23AIi8yK+pkBMpF8PEn2MatC5zY0MPS6p8u7EZf3h/rVXH5GBIFcPq+yarOi56dSXOc0jP+TY8Syra0Z2QkR3y2RwL8012VjL739HY0RLDDS/Nx9zNxISqPS6RCX4FSV7xkzxJ1bH1+Uux9uXfYdh6AkQDvr5fOfcueheX3ftHaLqVIY/lmjWT5gTKMAxE0yryQiJyughgkCsqicwr6Md+7bV48dHfYnC8G34OZ45v2sH+3V8f0uxd5B7ZMNTq4SkYxLHRWav0WPkX+OKGk5GUFBt4P6ppB16e8RQu2bQAN64i0uOh28ux8O3rcUwDOV9HbV6FwaYkThH9toSKqhtM3kYjIqfsDGlxMQakooyJoYmK3pTiqr2j4QVIR+3ajKJYp+0zKt2kNV++FNdblLt/P1pdi63d7nWGVRlFftKbMqTZx76gqjDZpC6IthrSo5vJdao5dAISwSxW8+VjNpUa4iYgDWQRQJrIK0R+3JQWGpbU2RknzpyKy0pmIPv1VwAA+Tu3ey4XUGVkBX04stlil3KklCtBRvZLw5cf3obxzTugCyZ7M8JMWggCDjIB6Z/WfYX3pj3MfpefjuOuxe9jmAm4abJPjMeAvDwoAZPZ4ZgbVTNQ3NYAjB0Ln8+HVMALkLr7LkKW7aUpEnc9pk9HUaIbR7ZYLKaq60gGwnCGKMswTKfUbLNmV84vYJJdJ8NDASmWc2OQgyHVOsh9F3BIHSlwUjSdJRjS4QicETJljv6tWzC+abtDssu9L7lXc0DX0Bmx6jUBoCuLjF055rZ0B2CrL9uO37y5mr1XAz4RbyzdhavfW8uUIuT31r13Qv1mnFRbjqtKv2GfFS9dYFuvYOj4wwt34cKSb2yf889plslmDuok4+7W5y/FtCl3ulx29+9swEML38SRN/2BJUAFUwY89ySS2NMDAUg+P0JJ71Ien2IHpFSyC7Nml+7zwEQP0N6Og198EmO6Gu1uzOZyR+wsYwkE5/kZZjKkeZoEv6YyQLuysgPzt7aw556GIvogq6QG/KaX7sTDC97AsF6r7MknCshKknlUfirG5gpuUyOy3jwpgedmPo9bVkzBbxZ8BBxzDFumIB1HTsjPZLY0ueeUvvPxyb2T0JRfxBhSZw1xjvk5L9kVBFK+IGZgSGVfwHY/DY22k+dpn2T3/+9YtKMNl7y+Cq8sqmQyVX5yrOuGjUnqK/hJyztfPIynZr6A4lgHYpJqY0hFQcCTc17GL2/5LQDyoF7+Zomt3gogTO2vXl2Bz9bVM/YW2I0GzmZQueLHq0l2s7qdDMR5We6XL0Be+BRwejGkN368Hue9uByNPSnGpHy+rgGXvr4Kc0031f6itjPB2ItNJlvYGpMQTSu46NUVOOv5pbjk9VVYtrPd9Vu6zaH55IUqazpjDpyRn4phyZ2nAx9/zD4remEifr9hpo1RcUZa0RAJ+lzGBpkA4xnPLcW5k5a5Pm/pTUNWdVw2YSQAoDuhMEA9dQ25Hk2cMVNrNG27xl5R2RbDJa+vYoNpb0rBRtPIpqojgSmr63Dp66swfX1Dxn6CfC1zK2dKFOfMULoSMi56dQW+2kDkaZkMepwM3faWGHuxlTf0wDAIQ6DrBjNbSUgqkoqKSNCPHY+dg0mXHY0h+eGMqgRFNXDNuq/w0fu3wxg6FHj/fQDkxZgKeEzQACQlDUV55Du+hyUfjT0paLrB7sGy+h5c8voqPMXVB8Yk1WbqI6kaJEXHkHQvBvR24tH5r8MvECb+8bmvYMjVV9gm9EWxTmTPsk9GKlpjbJI+o6wJf7v1DWDrVpdDrpN5UmSFXfcms37aWcMbS6vINx0fr51cis9LGxAJ+m31cdQqX1Z1m/T3yIUzUPbiFbhg2xL2/Sm1ZRjz7ssAgETQmjDSiSEvYctX+m5zc0hbNYqrd8AwLJlrNI8A0kRXL9qiaSRkDZpuoDgdg2hmlLUqklzKCog4bsdajG6txWGtu9hEDiCTQxruGlLrOe5JyhAqdqAlZwCa8wazzwvSMRRmB22sNwBc9A1xzg13ttskgqfUbMD5O5bjz2um40LzfNHg6z5pUCaSJu003XC5vAY11QKk27cDzz4LwC7bBcgzTydRooMhzVIkXF42x1ZHd+H91+GOpZNx6cb5bNzrjEto7IgziVs42oOpU+9BjpRESraOsy0qZXzGTmnaAhhuN+igprBJmC4QiXtDdxI9SQUDE+RZSxUPRdofZPc4MxVSiQN3QFfhD5MxPpFfiLxkFNA0b8muGed9/ipu+fpliNEoWnIGYPCmUhsDScOvKCjUJJxYtwlrhx8KgExgsx2A9Iydq3FWxSqMN0G0LogkOVVWBjQ3A4WFrnXTOKFuM65fPQ0rX7sGf1zzJZLm+OmLxYD8fKhUeivxrLmBorZ64IAD4BMFpPwh+HejhpQAUguRCnySgpNx0lA1Aym/9zUVuwkQHbp5HRpzByM+bCQzNXKaKeV0tBKl17JlWDNuAvnQwZDq7da7OZ4/gAHD5Oj9yL7oBgOk3abTLh96JIscX0cH9utqwvb6LlfbmUPaqjC4uYb9xm9o6IxYzJJy3vmYf8AJZJ/Ne0eP2Z+9Eb1tkDUdDaaaRjMMlgBq6k0zkJ0jJRENRrBmxKG4Z/F7uHb1dNy76F22noFla23rHZCMIqC670HeZTfhI9c0LKeBalLecETrLqicy+6VG2bhu7evAwBEDzmcsfmBnm5oog/Tfv4H4NxzsevOhxAPRuzthbjwyxKgqkjJKh6f+zL+uO4r8kXckpUXpGLwGzrCNbtw8Puv4JyKVa4a0nHttXjvwzvZ+EEjx8GQ3j75MVQ+80voOjHTuuLt1Xhi1nYXQ6r4/EgqpBRGCZHnfvwawqr7RQGCICBijvcF6Tibnw/O4LJLY2xnA4Z0tQDt1hhakIohN+y3jIioZLcPhlQaVIRoKIIss7baCagpINWoy64p2dVEHxsLA7oKLWTtr2joNoa5ON61r+3L/8/Rm1TQm1IwbR0pwF61y8oi8xPtKatrcfYLS7GGM5Vo7ElBMRua8+0iKGgZHO9iWcmRva1IOACpr7MTv9i2BAUNZACabLatmLK6zpZh3NESg26QOhS+ZjLZT+9GtpwJSmZvJrU6O9vIzZ6pAfTnpQ0478XlmLulxbPty1rzHFz5Vgnu+agEMAxWt7bVdAztSsgMzLZG02wS1ptS0J2Q8fNJy/DuCnLcdKLc1JNCc08aqm4wULazNc7WRwE4rQ2ddPl4lD1wJvKzAhmNa442e5rhuedc3926bIqrXss6ZyqyAj4cXbMZk76eyF4eTT0pV69GGl7sXr1Z03nI0FyIAqkXpFn4VxcRl07eqfWJWdtx8lPf2SS1zljv6PvZ2JPEJ2sJuDUMYI3Jjr67oppJxp0RTSnoTSqIphWbEoBvlUL7fFGQmCkBkpA1tEXTjCGmz83+g7Nt+xpNK4SREQ1kdXciIRGGVBAEiKKAotxQRtZe0nTWMN0YPgJ4hTAgmm4g7ZhY0clxUlHZJK3OA5DG0gq7vzfU282cpq9vZA23T9hvgK2eSFZ1SKqOIsl6aRzdtgshv4hxnXUIbd1kM4W5Zt1XOOehGxmzu6mhF2c9v5QlJADg2ZnPw7j1Nhu7CbgZUi2Zwrh2Mk7w4JV/lmNpFSMHZNl+lx3yIxL048EFb+COJR8gzwSshCElz+YNqz7DfdOeBgAmtwSAtybfi9xtBOzRFgHn7FiBa168C87I58DpMzOfx5XrZwIgYGNwvAuDkj3IivVgYGMNBplyt2ROAXRBwDtzN+P4JxYy9n6wyejFglnw1dCxwo+xTWRMLY53IhKz7q/DWi3X20hrM1BairQ59vHk0YlPLkRq01ZUDRiBOAew81MxFESCtnqt0vvOgGA6Ywbqamzutfnm5Hyog3kEiNztxDq7EzoFpDQhRWpI7eNPSJWsMSkrCxg50tyGNan/8NP7cdnyaQx0O2tIx3XW46m5L+P4eiIRzJLTiHR34vztyzBx9iT8assinF65BkX/uAPjhhfi6w9vZb89qW4TTq9aC0mSmAVlVtBnAy/pwoHoMCf7j75xB36xbalrEhjUFPjN3xekYxBaW/Gbt0rw0nc7Wf2WXjgAkj+IsCrh0NYqC+xoGhKyhoCmMoY0mTeAyN66urwlux7x1nEXwS+lgfJy13eFvR2Y/9AvENRVfHXYaQCIZNcJSN+e/ihe++op9jdjSAcOBIYMsbmmOuOQdqtu+v5F7yCnbheRt8aiQF4eVFpzygFmXdMwuK2BAdJYKBvBuJ2B8mRIFQUHtdewPw0+SVFSgtLhB9sWV3XD5cxLQ+jqhmDoGLJhNVaNPhJqOAI1FkdvSnGZf2V3tCJLV4Bdu7Blv8OhCwKQTNr9LTqt50POy0d14TAAgGYCa023EgxdHoDULwhAC0l0B3UVaxeV4u3lJEFFk/9fTr4dD91xMWAabwV0DYmgNQbKX3yJJfuTml16/8W77Cov2peYzmU03WDKCk3TkTbf+7lyEtFwDt6dcCHypASOaq5AiGM7w9u32pRiQ3hZ79FH47k/PAiAGHPBMPDu5w9hQgWRxIcUCZhh9blUdQOaYSAgCvhRTZn1eSSHyfDz2xrRMXAIEAwCs2ah7bdXIx6KIMtkSD1BVmcnkrKG35bNYR8JXK9ZxpqaUZCKkvdELAY0NkLVDZzQYJcg08iRU/BrqlX/b4aRSqGX61gQcbiDqyJpoRbwidDNZM0hK+YBsEzpsk3QV5CKQVZ1ZAXsyh/ADRQjctqlGilIE0BKL1NffUhpCOEsxIIRVlsddmwn1xy/FI2rIRUEm8uuT9eh5vFOywpyuGcqW0kT0ylZJtcT2AdInSEIwjmCIOwQBKFSEIS7+//Ff0cYhoGjHpmHM59bgnlbyYC3mgOcPFtDJZdl5sRV0w2c/NR3+OkzizFx7g6c8vQiBhYVTcfo7iasfeX37PejelpYD8egn7iIiR9PQUhTEUwl0dsdw/wtLfjbjnlob2zHlibrJUQnnrWdSZaxA3afIaX71RGXoWg6M1jx76oE/vQnFyijtZefra33lOyG/SJypQRuffdBvH3DacB997EMU3dChq4bOObR+bjsjRKUVHXihCcWMsbp6EfmYfyj85GQNdSaAz+dBDT1pFwMGf37mEfn49xJpE6F7v/wwiwURII4bFgeKlrt2UDqYMwmqXTiYBjQTQbkL2u/BCZO9DxnSVNO+vvPJ+HCbUvwx3XkJfHk7O14b0WNbVmXUVGTBY5p7WJ+JIBxcg+Oe/3/MCrPqt87qmkH2pvdE9rHv94EXH89sGUL2wYFK7StB41XFu3CxoZeHDWCDFxlJgjc3BjFV2XWvhwzqgBf3vAjAAQcHvXIPJz13FK0RdPM8CbBMapUKUAlTM4a0lwpwRwQr5+yHle/R0wrqIT3xP0H2iYmNJHw560LUPrylciprkQk4CMo+q23cGxXTWbJrqqjKN6FzcVjIZ1wItBAEkiKZkBwLJsrJQDDwEFb1kIyZcZOyW5PUmZ9zADvGtMfHzAI5Q+chQ+uOd7GlEsqkewO5qRKJ9eWI+QXUZCKIdDeBiltvXjHdjWSyXRNDQCgqsO6V8d0NeK8bcswsrcFWkUFq/+k4WRIj5n/Bea/+1eM6m7GrrY4ri/5HCfUbWLjRVrRIGs6RhTYpW/ZQR8iAREXbVmE83csZ8cjqzpj/X5XPgerRh2BZCDEwJYziuNdOKZxG06o34xj1y92fU+llEFVwSWbF+Kx+a/hmIZtuGDrEix//Roc2FEH0TDwyF0X42/TngcAqJEI5GCYZcxpQi+3k0wQNww7GKGWJvg1FeGgD2MaCCAdGutAOEru9d5QNmsXAQC3PHgVMGEC0uZ1GNpYxWYdaUXHwGQvWnMGIBbiAGk6bkp2RRSkovBrJtNsTgjy25pshmD0HOV59LL8a8nnmPzp/bbPaG9OOoZruoE81X7fBRXJqk/MygKKiwEAA5PWBPEnNRtw/3dvswSQmPZ+ZqiLJZXOUSZjfOMOnFG5Br8pn+v5u2FSDNdcewHw058CIE7GvGHPhjen4sYLrWREQTrmwZCqEA0ylnwy9V5c9PMJ6IzL6E4qKEjHYAQCEHNzkPYHEVZlfPrxXTi3wuwXraqIp2QEdI2ZGiXzSX0c2tsJQ5pBsktDLy7G+uGHkD86vNUzALBj0CgsNoFKUaIb9z9yNY5p3Ib9uhpxyaYFruUNQbTX4/YBSA9trYImiLj20gcAAANrKokcPEoAqRYwzylNKDz3HM5f+TWCskQku4KAnqxchGOO8hi/BZp1OvrJMma+/VdcvGkhcqUE8pq5tnWyjCUHHGdbh6rpGeWJh/78J7hx5acI93Zj1agjoYazUFvXjvtmbGZgrnzIOOg5ucjpbMVAcxzsyR8EORgGEgk2wX925nMYNnO6dbqGFSHnycdIXZ153IqmMxlt54Bi1/6EVdn2Th3b1cBaWam6WcdO77/FiwEQYMH3wvX7BDSaagjqrv3ZMkviDwAHddTh0NYqpqZRNatvqqobTG2UIyURC0UYA1uYtgBFV1Yesit34MsvVwAgxIMtYVVcjJUTzgRAkzYaTq9ahx9VmoBUSgFzrecyVzKl0j4Bw2LtWDpmPFaOOhKinGYS5UFtjWgdOIyBZ78oIh60mDyvWk20t7vUU4HqKjz559MwNNqOQUk7IC1MxaDpOvDgg8Cpp0LVdRzbsNW9XhDJbnG8y9W/M7u9mSX0Tqlej/enPWT7XjGvl98nIL+LKEyGbC/HgGQvKwVhgNQ853lZfvgrd+K7N/+CM0yXZxdzKacQVOzjU346jtxwgKshNfCbsjk4LgPIBgAhK0wAqbkPLmY4bSUysqUkkEtICJ2rIfVrKox8a8zw6xpzs5YDIWQpaUvafvbZwKmnkuTX/0j804BUEAQfgFcAnAvgUAC/EQTh0H92vf/pkFUdZfU9OLZhK8ZsLcXo1lpbk94heWHGHKUVq69glSl3pcxTQ3cKry4moIfWgcmaYWMYAAJIExIxNcoL+8kk/O232fdr1u7AIU078fcZL+KVr55C7DtLAlZpMpp1XUmbWydf7+e06U9IKlpbu2G89BLizW3sJdoZl1Fl7ueJS78B3nkH8pSpUDRSSxaXVCzYSiaCi3a0sdo3niG9Yt032PTCZfjFdiJRNebPR7MpH9zVHscyE9BubY4y+fEbS6tQ25mw9Qqj55c6qdV0JKHPno1RpusiDAN1dW3s2Oq7CCP9ydp6HDWyAMODBtDWhnFFOahsi9vOAWU5jjIZUoNmaaNRiLqOT48gLwWsXGmdP8MgAP3RR5FWNOQbCoY3kUzstau/gKhr8GsqDnn2EaDeMi5JSCoGJbpxw6rPgDfeAEaMwOFdhMWiDGlOKIDHv3kBP/nyPRxSQfp7FSZ78dXk2/CPd++zXbsT6jYhd+bXwOuvA6az5Y0fr8cRD82DoevY2GC9LHKkJEb0tmJgdhDvXH0cRMGSAI8rysHc97/BBHOQHRURcegnbyOkSKjuIPvVEk2jNZrGkPwwhmlJjFhsZUxpMqInpQDTpuGnf7wIfk3FzSum4oZVn2HTC5fhl9XkJVBW34MtTVEomo6OGBn8Twok8ci81/CX1V8AsFr0/KiBsG0nbV1J2PG1a4G//AV33nsFBlRs8axDVjQdgxPdaM8ugFw8DGhtBWQZqq4z1o7G70u/xaWbFuDZN27DuA3L2b2DxYuBigos3tGGox+Zj+nrG+HT3S0raPx43CDkRwKuWmLiopcjnBoAACAASURBVKtjUNoCpOMbtyEU8GFAKgpB1yG0taIw2YsPPnsAJ1GmzJRi8b0+/7JmOl75+v8Q0lSI9XWIJ6wx6OJNC/G3lVM99214tA0NjR24a8kH+HTqPSi84c8wamuZM/iIwiyIuoYLti5GXjqOSMiPQEM9CtJxjO5uZtlpSdVIOwrDwKB4F8qGHoTGvCJSPwTiJKiJPrRd9Gs8derV8Bk6pn90B35UW26ThGqiDxgyhL2sx3XUsu+mT7kDdy75ECFNtXpNcqFmZUMKhpmElwHSVjIJLRl1BERdx7BoO7INDSOayXksjnUyQLpy9FEYEW1nDM4Ac0JTULEFYzvq8c7Eq4FHHmHbLEjF0JOVazOZKEjHURghEtKyF6/A/82eBN+99wAmcDhM6sJKTkGTCbQDZBLtzLbTiRJNJKqagQKZTG6bxhBzpYiUArrMpGhWFlBUBMBiLPhz3mWWYlDJrl5VjY+POpt9T+9rp9z36OYdyJZTNlaHj5NryjCosRowjWqygj4bA5pVkMtklwBgQHAlTkIcQ0pDYnLAOIzCAQgFfEj7g8iWUzbZt6GqqGkmxyuY8rau4aPJl+vXwzCsOsBMYUw4Dr1h4i6rdWWup7/0t0+jO0zMhY5t2IpRu7bg6VmTsOita/HMrBdcy+uCYG8B1Qd7kS8l0JQ3GImTfwIAKKqrJBNrCkj9DkB62234+4xJ5N/HHANRJIDUL0u2pLHATa4TQXsd6BmVq3Hnkg/wp0eus32+s2g/299Dn3wIp1bbey7zcdty0it056CRkCPZCCTjaO5NozAVQ++gIbjwqueRPuRQ5Ha0oihllvfkFRJAmkxCMwz4NRUXO+r7xQEDIJ59FmYceipzD1Y1S7LbWlDk2peceC+wxnLoHdvZwN7vqmZgVA9XJmSep4Cu2nrh+kURdQWEfR3VS5aPOGqvx3Y1YNb7N7N2MDaGVDeY/D9HTiIejKAr4r72pcMPwYBUFL+6+BRg82ZIqm5nSBMJiD6R1Hiqiou5y0olgJISlugYFm1nvXWHR9vRmDcYkj8AUZKY3LSooxktg4axcxLwCYiFLCbPq72K0daGpKKhNYckelrM/2cnorhp5ae4Y+mHtuUL0zHk1leTpGptLRRVx4RGb1PMHCnJHHb5GFOyGIqZlP3T2hmu7yloC6syIvFefHfojyEYBk6rWsfm37kpampkJgPDAQhr1mD/7ia8Pf1RFCZ7XaqiIbEOBJwMaSrmqCEFnpz7Mkb3ZC45EyMRxLnz6twOZUg13UB+ohcYNAgCCENqSXY1oNACpAFNRcSsi+0uGIyInIaP1jb/8pdkzuL3Lq37b4x/xZEcD6DSMIwqABAE4RMAFwLwTo/80EPTUP7tYly1KoofHzkaX0y5EwDJzlSPPBDXnHMbLopWouKsX2JnZxLr67rxq1dXsp+X1/cAmoa2NmsyeubOElxf8jnqT3oXOGAQFE3HyB4C6mYd+COc3rzFJtkdYkgk+7xlC5aMnYBTd63Dj84/BRhzNADSUBhXXQicsB3auANRVt+LsR31uO+LdzH1V3/FyIEjUbxxHcIr08AhF6O8vgdXT5yFuVXTUBTrhPzEk/jZkhSu/+J5XLV+Ju469FRMuekJbNrZjKbWHsboHb6TAKPNDz6Nu6Jj4RMFVLUnIGs6JowuxLrabmaAxAPSg1vJhLAuvxiLxk7A7zcuQGtnDKKuQd6yDV+FBIQUCVIghDlbWnDcmEKsrenGvC1Wgbpg6Dh84Qwgrw6fPPFXrBl6MI56owJDox2488CT8OwpV+Lk2nLcPekD1J5qZa3eXFqFytYYJl56FHlg58/HNT/9OTpyj8DB96t47+rj8NODi5CUNZw9Jhcnt5umFZWVBHCadQSrRx0OQxBw2dq1mLOxCbd8Vo7ZhdXY/x1SL6Y9fQKOqytDUJbw2RFn4NebFuCQ9hoUxzpx6jcfAjkK8PHHMAwD8ZSMz6fcif26m2EsmwzBMHBK7UZEhSD0TVG89cUkjB76RwxtIuB4/+otOOX4H+OFILmHflKzAT5z4g8An069x7pf60hiY97WVhTFOpE+4ihcr+Vj4xMv4iKtGeN+/Wuk/UE889EyDIoE8I/lk/HpgaegeeQBuOy4kTh+4p8wON6Nk254H2duXYbQxLvw4NHnQC0bCBz3GwBAS1TCsPww/rDkA1y8diZw4YnA8ccjllYwoqcFd954HTAwF8XbtuEF5Rmcv8MysLhk/RyMrt6GZ0+5EproQ21nAh1xCQWRAH78/AMo3EAkN18e9lOU1nRhRG8rBpi1y+dUrMS8wB3Ah9bLb3zNRkRTKvIj9hYKiqajKNGDrUX7I1k8BPmGATQ3Q+XcImncvOpTxEy5VlFdJTDuQMi9MeC8K4DTTsP6vz2HU6rX48fTH8ZPJAljoq34xxnXoTVnILYW7Ycx3U04Z+cqnHlYFNgiA4cdhofvvASDDj8Xk485n9SQqhoDwgvHHoejG7ajDVaNlb+5GafvWmef9FVXwzAMIv0yDBzeuguHxqwXoKiqCDQ2ACD7/uys55EpTt+1Fv6dJezvcXOmo/XCepx8DpGDXTh1En7x3SIc1bITXx56GhYc+zSZ6JhRWE2eC9k0NSpMRRHQVLTmDEBHdgEGJXsQ0BQc3FYDn64hMX4CKsotAOY0smjOGYC8SB6CplPrYa1Vtu+He0xQaGhZWUgGwmziRMea/OoKaHn5KDWZrlE9LRhYV8kkaEPinQiZgHTF6KNwbsVKHNJejbKxRyMdykJYSmFk2Woc0WsmEz74AHjoIYi6hnwpgd5wDpukAkCBFMcAOYGxZWS8v3jLImCLVX83LmE/hr4AqVdQVq/wo/eBlfOg3/g8cqQkOguK8NZNE/H4bRfgurcetH4QDgPZ2ZB9AQwy7zVeqnrzHZdj/dm3QjQBrhjJguyznhsKOGktF42xnQ2ek2kap+yw7hOk00QWx8nrsgry0J1l/T5XTjJTI8p4AnAleo6u24LGvCLkp2MwBhQiHPBB8odcwL1x/jIcK20wD4IA0tb9D0FXdgEGzJkD/fJjMtaQAkDzuMMx6PEnEH2bSHUf/GAFhPHnei4bC0VggDhhUibrgK4Gz2UBwkjaWuj0wZACQOGRh+Av5x6J2oeGYFhjFQInmIB0zBgofrepEQCo/gD848eT/YuYTrydncxISeCWn3nwKbg0WgGfOdEf090EAQYCDpaodtBI6BAYazX8zZdwcZ97TiIZCEPKycOgFOmvmZ+OQS4gdbPJQcXILS9n428sfwCkEGFINd2wAzF2QgohigIkfxCiCQh5c6+VSjYudfzkzDeeYP/WQyEc2N2I9WayVNF0jO5pthY2AanfZEhXjD4S4f3H4FhRQE8kD1IkG2NMQOoEFDQObq9B+bCDoOo66/+ZXVcNX/UaAHnIkVLoiuTZalRplA4/BGdWkiSt3NQEWdXtTrzxOESBmNkENTcgHbFtAxCPAtdeC7zxBoZF29GhHoiwJmNwogeN+UUoTMfgS0Ux9qkHMM5/FAoTPWgeOJTVvvt9IrpDEQwzn/uI4j5OtbkFmp6PbDmFdyZciFgogltWkOTnFeVzXMuftbMExp9/Tu5BVUVO9U6M7G3Fyyf9GiN6W3F+ZQlJnIAA0mFR97X/2ZtPobVqI3DsDUj7M/fSLegi88QjrrsSqYe245TqDVh6Inl+c0z2cFy8FQWpKPKyCm3kwJEtlS4p7dB4J3oc9bQF6RgCPoGA+o0bMWGn20XcGWIkjHgwwphQJxNLAamuquTfAwdCEABN8HGmRio0LokV0BREzGPqyh+IvNYmy+08N7ffffp/7J1nfFVl1vb/u5xekpz0HiAJJEDovTdFQEEFEWyAXbDXUWHU0Wdso45dRx11rDg49q6golhogvQeehJIP8np74ddzj4lgPPM+3ved55Zn5Jzzu73vu91retaa/3/Zv8KQJoP7DX8vw8Y9C/Y7/+MLV1Kr2kTmDNsFmWfRV8aUzhE6d4tfPncZVhCQQ6t+5T37CU8t6ISd0FPmqxOLvlxCXNXvYf/8TTyU9IRxt/GvfuXMeX9J3EE2sn63XyY9BOBYJiSlhpaTVaumPY7fvrsD5y59ivWPX4/S3tOZGj1Ovj6a6is5G+9TmPUjpU4Au1MMDiYAJG33+bstFEUff0Jd37xDDnNR+j/yOUsn3wOgz5ZjPOdCJw2kl/2tTJ/xWI8qz+AnGwiU6bQaeKNXLD6Q/Z58pi28Wt6/OVmsn9dhfmvdvpNupmjXSrocWArtS4PfQ9sIWvV95y+7kuCKan065yBtDeI/OEHPD5kJku79OflxYug4Gbo0gWbv43qlGxOnvcEE7b/yAWrP+Sl607ik7LBTNv4Ne2ymSs9uVw/YQHnrfmQMXlWnglkU/TtUeyDzsdrtnH6hqXc+OHD8BrkAKc1RIuATNn8LVM2RwsEZUybzDWZVXxSPpT2Ra+zZtX7uNrnwOefA1C89CMWZG7kw4oRfLOtVgWkQS7/xzM4Go/yeelAJmz/CWpqdEB61JbCL7nlnL3uMxq+/YHRG1ZR8u4f9WMOXPUVA/etx+tM4dFhszhr/RcMqo4WTcFigcZGnlz0F8o+XsJJKqsrqFG+gdtXcvNnz0R/f82P+p/dd2+gLstF+hfR5336hqWkexuYujG2OApApL0dIhGeeuePSEf2cJKvnUG3nEdajdKvzhr0c81V0+DtEVy4fDEXLn+TkXd/SleHQOXhnciRMLvvP1Xf32w1b+SpruM56M7EtmEdZzdvYsLPSr7fO3NvYtr6r0j5+H2u/H4JWTX7QH08U7Ysh6oqWKewfgO3/MRAfuKX3HJ+zenCtsMt1Db7GNxQTdpXn/FO5Simbfyam75+mZ9Swyx75mJkdXLue2ALkRf/BEvfhZkz8X/0CZ2P7mf3kVZ6xVVIDAWCpHvrqXWm0Zqpgoh9+yjavyMBHEG00E7+3h3kZdfQf98m8Hrh66/xnL2PJ969T5daRgRBr465vLgXAw5swhLww7IXlZ2lpOBp9fKHz59mh6cAX6CSK5+6lWFrlxESJZZ17se4HT/Tvi4KPk01hxJztK6+mo+efZs7Tr2Ruave4/dfJraksFXvBk9FTD5YMrs4SYQ5+5efsYz3k918hJ6vPat/PnXj12S+9hB88ob+WY9br6L7qCtJffYXQqecTZZa+r/G6aHOnkr3wzu48/NndOcklJ1LrSM6X7rjwNgBdyaCxYxVXfi71+zghEySECwWmiRzgmTXvWMroW7dYpiN1O1KVH5nWh45zUewNCqA9KfC7gCUHtnHjsr+iGp7ppINK+luylCOtX8/eL36c2+wulifW8bAK15ixU+PMXHfVsx52UzroFL42O/e50JzFi/2P41utbv/CUCqjMnKO29ULn1OEy6/F7/dQU0wiZhJjYw3OFN1htQISEuqtzBx6wqErj2UD2y2GFZIc8zyDMGAnWl5dK4/QM9Dht6Fx7KdO5Gl1Bjny56WQq0zjZsnXsl9nzyGy9eqM6RnnvsAI3at4ZavX0xwDJe8ehM+ycTKggrI92CRRVrjencCFHz3JRdp/6h5VJIssaK0H5M//ZTwjFtiGNV48007A6lnD5otirTb7WtVikXFWUA2EVF7qbaYbZTUJ69DYLTwb5DsAji7d8NqktiaUUTpgZ2xkl2N+YgrurS/SyXFKhBv0pjoo0d1QCoaihwtPOlyTsvYhv0WJbDeqf4Ah52JEr+jKR4abK6kc+WxrN1kwed042prgUhEYbfzFDatMS2T/Po6MlV5Z4vbg8+kMKThSETP+Y+xtDREQQGkOkMajkp2D7ozjnk+4sCBdKvez9eG2hZF9QrAbLfascYB0nPO/i/mDetEPxSg1pBTqDOq8VLWGkcaWa319FDTfBYteZVtl10LpHHKwstJ37OdzPkv4/R7qU7NodHqJCSIMaqPrzv3ZdqGpXSr24OvsQWwkNNcR4vZplzj6acjiUIUkMYpC6xavvBZZ8Ezz5DfVMvKUJjMRmXuPeDOpPTIXlxbt+HauY3FKrt/IC3XINkVFOCkgvxkkt3gvv0IERdOfxstZhutJlvCb+JNiER08Ff0rSJn/6xsMOtyyxm9+FpS1SCn09+mM6StJisOw/GdmzdAP2LGRpPFgdvXiikUQIiEKVqlyJ0zK7pwsKySTtX7FYbU59NlstNWf8opv3zJ5c99D+v2EhAlTOEQL71lCOgZLK8mCmGCgkhqWwsgKAxpr148ftyrB9Fmo94Sva+JgFSVSLc2KWxvRgZCWCCi9SGNRBQpuWHOMIeCeuXgupQMcvbtJKz29iUzk383+1cA0vgULYCEFVsQhEuASwCKior+BYf9v2TDhhE0mfVokGYrinrS/frLsN98A+HzziVt+ffM2fQ+5p//wadlg9mY1Zmrv39DcTKbj2BmO+8euI6qQ9up6z+E53P7ctX7T8AttxAcOZfCxsMcTs8FQSCiDqyqFx5lTuWPbCtXmFB+/JGDNyWX5LU63IivvMaRoR7eePc+Wjt14YHek1iwYjGn/CMq9WXqVMKX/YFpG5fxWekgRj15D47xY3j9jVtpSfEw6byHuHb5q8ze+T0flw5kXO1WbvrmZVaLp2IKh1g09hL+/NHDvPL6bUQkSZEbfq9I+Pa5M7n3k8fYnl5I+ZFqJacRGAusye1Km9nKr9ldAMX5maaCqV1peVTU7ObtV2+kxe7G0eDkZjUH5KONK9mfkklFze4TfmTpWzdw5bZNXLViMWI4RJvdhfzoo9C9OyxdStt/3UfXRx7C422krkXJYY142+ix7AN2n3EOrwpdFEC6bRuHd+0nG4hkZbFW7ds1a8GZDMgo4rArg5vufI2//eVq5r/7OPaAj/VjTmVfSjaHMws4Y8NX0Zyzl16CF19kvuE8/zh6Dr9b9iIhQWTMzlVJr+WLnqMYsHUlv0T88Pnn1PQZxO7a5qTyMM28N9/K5N1m+h3YzO9OuYqjVidPfvpnGNCfqb3n8O6f5+KsOQiLF+vbPPTKQirXdtLBXzL73bK/8mNhD+744hlM4RDtZivfF/Rg2sav8U+azIhPEyOlANx/P7S307DoLlJVEPbsP+7hgCuD906u4sIHrmbA+u+IuN0smnA5XWv3MOPXLzh52wr9fF7pfQpOv5dpbymMNJMnI+7cRWntft5evY9ehQZHLxhk5NqlyOEwNY40mjJzlc8//pgXH7kHgKcHnUmdPYXbDdUOAUb//ClLV3/FJk2y1trKmD/eiMPfxqLxlzIwdJQpD97Cr2u2UbNyHWOf/i8SLC2NJ+99jVk3nMNrb97OstwQw9YuU3bnSuWrLgO544tnSX8sWjhrzYoNpCdxmk/atJyHwyRUZdXsrE9fwlk2JClYPRFb8sqNHHJ6iIgiq75ew7NfbubZO2YyXAWjnw6YyMk/f4J913Y+3HU1ADtScslW2SGdIW1tYJKBCQ/m5fFrTgp/7zGO6b9+iSXOwa9Pz8El+LDW1SGFQ4za2bEcMMYcDmRJxCtb9QVeK7Lk3LkVpk3jsNNDQDZR2HAY1+YIfrOFH4p6MnHrCryN9YQEkX0pSu6Z0+clP+zFrLJzOft30sOmMuiBAHz7Lamq7KtB7QNZ40pHSk9HWnn8KPnCpc9TdWh7h8/vWGYN+pWiJaql7t+D0+clmJbK4WCyZVaxBlcaGV4lYBBfzMcW8iP8qAa7rFYm9S8BtcinkSH1ZWbzVPlYDroyuO+Tx5KyJgA17gy2dunJD6OmcsMj18D27USK+sU4tc40BSS92etkFn3/CpktDfQOKfl4zWa7XpE3PsdKO6fUthYETxFWk5RQkCzBNEAqCqzN78bkX77EcbQmofeh0fKLs3UWrl02425vSdpf0G+oHNxscVCQpDJyvEW0okaaHQeQMno0JklgU2YnxuxcSWZbo5LTmp5OKEmVXYDqir4Ua+flMABS1YT26O8DoqzLmkEZY1pfSaO1Wx3U/xOAtE220O5wYw4FsAT9pLU1IaWXAlDvSKVLWyu5qhqsNcVDu4EhLegQkBJlSH/9Ffx+Tg0rv93vTpTsxlj37hSvepVmtThOIBSmqPEQDVYn7SkecjRAGgoSFBX3V8uXl0WR+pwCCrcoY9U4pleMnsqsgRex9tFZdD+8g2uXv0aGtwH564+hcrbeWumMDV+RouaQRgSReptLVy8A1NnTmD/1Fr58/nJ89U1AJnnNdWzK7MSfF9zHKzdNQvzrz/hkM+ZgILlsPisLRo4kJJsoratW1EH1yv054M7EJ0XZRS1/db8n1yDZFWm2OHQVgT1uzgjKJoIHDuEQSwBoMdtptRwfkBqt+Psv8ZosbMzqrOzTFZXwO/1epKYQjRYHjVYnDkOtBvv+auz+Njof3a9/dtTmxu1rxRIKMmTPOoa+qYLKggLa8gopWP+Lwv42xOa1WrQc/+pqNmeWkN1yVA+sxpur1fCMHKmktDdTuHcb+xx5J3zNkt1Gi8WupGOEAgmF3LSK6e4W9Vjp6Qi1isxfiERbJhlzSE3hoF586ogrHXugjfbDqmoq78TP7f8X+1cUNdoHFBr+LwASQomRSOTZSCTSPxKJ9M/8fxnZ22zs6tYn5qPzZ9zJrVOuwbngcuSmRsS//hXTls30v/IV3u4+hpO3/cC1373G9iHj+Pa5JVw/6VoanalUHdpOeN48Mn76jlXTzueDEafDQw8x/PUnyW+ooT1fAeZ7rruNGyddzdMDz6DH5pV027UBiorA6aTRkbig3fqH13l26nxsG3/lq+cuU5pGf/kFz4+aRcX1S9h34+28UzmKz266D9auZcpNc8nwNrKk5zh2devDirIBNKZlsv3OB2iyOnlu+jX4DxzkmlNv5OchJ9Nn/2bOfe8ZVuZX8HHXYdTPPh+huBhx+XKEmhpobmbHJ8uYNPcxGq1Oyo9U8363ETHnqPUj3OXJY82AcWzOUJbQuyfN55R5j3Ng3uXsnT2Poxs2I2zdysJL7mfBaTdRnZqDJRhgTV5XPlD3GVKj1NtHncKLfafEHGdnodInMCIICKkpfLH4cwLbt8Mrr8DKlZCZie2csxGJsPqxc7jstgsIPPooC796Dtnvo378RLZmqsv72rV8852iND9pVA82ZXbi6L0PAlBaV017vwF8e8jHjj/8CYfPixQKsnyoksO5+aKr6HJkH0Oq1Z6hcSzKhqzOLO45gR8LuvPH0XPYnZrLH8ZeRI0jjR8Ke9A+Zx7P/+kNnu9+Mim+Vq6YPgg2baJu1vlcfMZCnu8/lZVaEQ7VgoLIwTETcTz6MI+9dz87s0tY3GMcn5YP5fDew7BsGRvsWXxWNljf5mB2EYt7jqf/5p+w//1NQIlicr5aYOuee/iul5LTdNqmb7jnsyeRwmG+efdrLnj4cy4543YW9xyP2QBGW01W1uaW09JvoPLBuHEwdSqpp0yIOd+85jqmXD2bAeuVCKewYAFNVidXTPsdu1NzY4q/7EnN5c2qaL4bY8YgV3Sj55E9rP94Of5gmAsfX8qufsOhXz/ueUthr2sdaTRqhS8++0zffH12KR93HU4ys4QC9D64laYrrgJJonjTGr7qMoCX+53K9lvvhr596XHhTJovvYKnB8UJ2d58E1avxlvcmZf7TAZg9CPRKGxYltmfksV3VSOxfvqx/nlB42EKA4rzF6mIPldTONQhmAlIMgOqf9XB6LfFvZP+LpltzOrE/Bm3k9rWzJidqzg691L6D6/C2bUsmu937rk8dcHt3HPdY9TOuVjfNu3XNTEMaa0jDbffS5uhSmU4J5eIIPLIsFlJj7+pagiNshV7eyuTNi+npOEg94yed/wT1wCp2aI7iMGw0gPPXH8UuWcPwqLEodQsihoO4ti4ngNF5RxwZ+Jpa8K+azsNVidek5UwAnZ/GyVtqlNSWUl63UF6H9jKez3GgijCd9/psuoGNcewa7Yr2r7jzA6EjHfeye3PL2NLRhEnb1tx/OvqwAYaimZ49u3G6fMSdro45D82INVkkfG5k1cvfw3eekv5x2QiPzu6nlQd2sYVq94ht7kOf14+jww/R5c/d2QrKwbx2KX3sKFQrcq6bRuhcCQmD83iiOYtBhxOZvz6hVIgDvDJJp2l7ahiZWpbM4InHYss0m5KlO7FmApIZVGgTpUJW5sacPq91DjSWNJ9TMImptQUfRuNfUnWm9VvyL88EMfMaYHWeEtgSDvIIX1k2Cwe/cdKmDkTsyzyc2F35HCYOcteVxjRsWP1KrP4fKAy+t+WDuC7GdF3s0nr+2uoVBvT5kcQEC2x97AwSR6cJIrUG/J+T9TaTBbanMp2Ke0tpLS3IGemY5IEalXfpfTwLrBaCdodtKsMqQJIFYC/saQ7vxSpZUdUhrRdNisgr2dP3nnqUkZ9ogTma5wegoKoF7iJscmToVs3XN5mXekUDEUoOXqAfZ5cAmZzgmQXwGaKFss5ml1AQcMhhEgYa8DHtvRCFl3+IC+fcyMIAr9md2HKpm/1oj4etQOC1obkhm/+RkZrPU0WB0DCPW222PCq48rXpIDFwoZD7EvJosWVBqKIKHTMkAIwezbIMtVjJnLO2o8p37eVzPooYPclkbsesbl1ya5JEmix2AwMaVxbsNQMIgcP4lC/b7XYaE3Sk/azHqMSz021vI1r+CW3nKD6rgcNIOus9V9wweoPOeDOTGgXJUQijNy1GmvQz91j5nH3ohdjqiFrY4bcXCgpob2gkAxvI65QewIgBbjj/Ufgo4846M4kxVBcKt5Eg79W60ijc/0Bfr9wNhe+93SH28TuQMRktdCsPnenz5ugAHH7WrH72+i2X+3skJGhSHZFESkcRlYlyZHU6Jwhh4LYGo/SZLbTZHVgCQWR9+2N3oN/M/tXMKQ/A2WCIHQC9gNnA7P/Bfv9H7O15f0oW/8jn5cOwpSexjed+5GfakMUBRAVCZEoCvz58jGkzO6Fd/Ionuk6nsiiq0I2YwAAIABJREFURcwfW8o1B1ysLKigQA7x6uOXgiBQnG7n1jEXM6XIzvhXnwIgcOYpLJxSSb+hJcz5vpGuuzZw2U9vU/XLcqWCFtBiT9SJW4sL+XOLi/VnLuLeDe+QNW0S5uJCvrkpk3fW7Cd3+CRuNn/CnKElnLR1BRnvvEOz2ca3JX0586iX+Wf+nivHlrFgTCm3fLeLGf0KcFlNOMwSy4t7MTb8Iqamejbd8yw3VnYjc8QpIIlg6GNmHjCApqVLuWLa7yiItPFRbk8mpQaQ1Dy0epubFJuJUDjC6WOvpUxs4936ZRzpOwN2tOB64s+4rFE51vqqoaxNa6D9jBl8sUmZXDNbjiKGQ/ySV85ltWso+PRd7lj0KXs8eXS79DxOHdOdtnofD63Yyil7V1PRr4LxJ49XdnjOOdEb1rcvXHIJ63bUkLL6RyzXXsO56le+ocM5sGs9/swsaj9dxq4mZULJ7FwAq5s4dN7F+P70MLm1+8kdMxSbX+J5IZ91Fz3OKUPL+Snshq21ZC64lDMPWnn35WsTHK37R57PK30m0WR1MvOc+wB4buAZAHxROhCvyca3D8+iffkuVtQ4ea9ipCJ9vfxyAjNn0fjk97x3wQ08XNvKr3dN1Pdb7cnjxasfYEqPfljfepOVD/6F0HoF1OWoVVSdVpkrT7uJX24YhrVXTzb3Hc7CyukcGn0yV1U4eOTVb3lk+DnsvncyvPACSBIPpo5i0IKRyJEwPknm++JelI3oj/2dXwlKMh90G8FZaoXJ/a5Mbpx0NVu6D2TVjSMU2asmNVOB1k89htHqbadT42FK9mxlXV5XqqeexZTf3QR3f80uTz6/n3BZjJymzWTh54JK/E435rwcRY5WVoazuYG3n7mcxpxaTnr7Wzqp4FazGqeHJrMNnE6lGJJhf8aKqUYLqZHs/fOv50u5mEmvPcpTg6YDSiVgo907ag61Z85i4Y+vw0cfKXnKZjM2Ux2PDZ5BZmsD56/5UP+9u15xjL7tP56RvyzTP7/sJ7WyZOfOCBs3wpIl7PvoSwpeUOaGhRMu4/dfPKswxgsW8NERgadMnTl73aecs/YTrp5yPe92H8Pu+2IDNEZbUdSTlpMnM+Ev97IzLZ/8ObMZWTIAcyjA57edQjpgt8qsyylj9K5V0LcvN0/shlmuoFY+j/n+Ljz/4wtkrF9NlkNxwGscadSpculcQzGccFY2sJP2JP0oA889zyZzFeXbfqFraxO3/fQGdcVlvNTvVK76/nXaTRYyWxOdCQAcDkySgNdkJU1lLn2BsF4dW6yqwvlNkE3pxVQd2o75kI+DA8azNL8/V37/Bp6P32OHpwAEgVazlRRfC2PWq4B/9GjEjRuxBX18X9ST08wNCiD1KAGZRquLP57Rk3EVWfCNmq87fDivXnYnNXf8F9d+F+1dTF4ekTQPB9yZdI0rWHc8u2f0PPJCrcz99k2G7Ym2IOnz7YeU1Fazvt9Aan1hgqKU0DgdoNHtoWCfcj80tuOs2ffywEePxBbhEIRoqwBQCsr8+hW19lQCamsTzZHuyFpdqVhNEkfNDvB4YPt2wqMVNslrsvBzaT8GGfq0BhzOmO19sjkmjzWZ5TfXQrpHZUhPDJBKosBRNYBgbW7E4W+j0erk+inX06NmJ11ro0W0tEbykgZI21sTipoABAztU/ak5jFw30b8dicvV45jeUlvXlRl/EZLKGrUAUPabLaTpRYvMUsiq/IrCAoi05cvAbtdYcA2qLUp/H6dJf2puCdBd9RhTcaQxvedFeP6krqTVCCWROGEAOm3L77DoOsvwnxEkYi2y2baVVloSnsLqe3NtHrSSXdYOBhSzrPzoV2QlYUsS7SbowxpYeNh9rkzmXvxI1z03WJ6VW+EtDQElSHVrOSowm+EZp+DTzbTaHXSYHPTxZjLO3w4fPCBXoH2xVtOhambCAVtVB3axuc9RtGnvloHpFIoWtRIK0gniwKNKRlYQgGc/jZ1TFtZWtKHTqrf92NhD4ar7+jWnM7k7VFk387awxyaMJl3Gi0Uusy8XH6S8ljsKXBEARARWaZdtuA1KWMt0NiMw+eloKmW1zKKUBW1MZLdpAzpZUpBqlU330PhFx8yfssKilJE2mQLh1zp+JLI3NtFWS/8Y5KUKruWUBBL0B8NJs2Zw4WuQSz6+Ek8hw7hTFHuVYvZRlscIP2uuIpXrvojYy8d3qHKSmNHAULqmF3WqZ+y1gAHXRk6I+81W9ndazCVPy9j/HalQNWG7C54ynvqxccAslrVcb5xI1itBAoULmzOF3+DmkT2POXVlwDY787k2ik38KShRVNHVuuI9g6eseyNY/zSYFYrZlnS24S5fN4YBUhIkrEHfDy/5K4oaZGejii0qVV2w7rfGEmNHt8cCuI8sJf9KVm0ysozkHfuUPJH/5NDmmiRSCQoCMIC4FNAAl6IRCId10b+/8De7n8KO+taeXbgGcwc0gl+rCbLnehojemaBWTh278Pvt7FxSM6YZElZvQv5OlWP658tw7i8lNtNPnCtDzwEJH3P8LVVI+pfz8uHK5IBb3+EGvzyvUcHvLzARDlxEhgRm46bGjAeeY0Mt+6Qz9GlsvKJSMVx9FhkWn1BxVg+847/NpjCH7ZxJrqeiIRyE+1YpZFLhsVjfRmuCx8JpZxtcVB++lnct78jssaaH0KVxRXUZrlpLWmhdal3+AoKUQ6fJisTvncNbU7Xn+IdfsaOH9ICfbc6Vx8oIm+1fUxYBTQK8JN7Z2nA9Jap4crTr8VgCFz72O0xcT903tRedUIeuQrE1z3dOhemgOM7PiBiiI88wxbVu7ltjdW8erYDNbc8RCjKnKwpaWAINBY1RfLqpXkF/ch4nRidSuTYFsgSHVRD3Jr92MdPJD+1W7W7WvgV08x4wuKuLtPAZ9tPERFrouN2Z2pvO7v3P3pk8xc/7l++BVFVTSpk6rHYdb7DALsScvDJAlKSxC1UM+1U65HfP45pgwpo0c4wtXjyjh3cDETHv6aS06/jYsi+xj4zku0ZOawbl8joTEz+SB9JK+O7gPrl6uXrIyJxZcO4efdR7HmZMH69Xy9rBrf6sPs6D8Ozu5Dv/HTeU6r6iopY62xLcDM2fdybZmZB3aEOORK54dUG3a1H+rKgkoCosTutDwmXKQAqEq3VSmyYjUsXJMnw7x5/K3/eby/p5VZxWaC73/IiqKezJoxSgGNhnt00JmO99wLKKmr5oO8EQQlmc23/IGqrqo0pVcvAHan5lJy5yJmAk8MnsH8V+/l9ekLmLXmYw66M/jzl9sZ1KWCnF9+JiiIfFY2mJ8LuydEeb/sMoAI8MI5N7O9rpUJWxp51daVRy98guGlGdzYJZ0BJR7995EIIAi0l5bD6ffCJZfoDrHVJBKUZN7qOT4GkIpqJdEdnXvonz08bHYUzKhtOzjzTArOPJMvC7ry591h1uUqLN/9375A+n33seW7faz/chvrc8t4YshZHDiedA34pHwonUadBH+5l8w+3bl8VBee/WYn7aKEW33/ZFHkl1wVkPbrx5AuCgDfe9TLT4U9OOwbRNHHb5PTNZVwSio+k4W6JKoNyaSMjbYkEkvRbiPbbuWwYCGtrQnamjj82hL8v5iYOO8Jeh/YwhPv3Zf8IhwOZFGkzVDUqMUXZMTuNYTNFsQhQ3D+uILvCnty0hbFgd9X0ZsN9lIuOWMhj7au4umIMse2mm2cvmEZ7tUqEz9mDDz5JAA/53Yj0jmE8MILZIyuAhTJ7qyBanrJVjWqPXAgSE72psa1n0hLw2aSOOg6do5bMvu0fAh9jyhMS5f6A4RVlqRSrQAdys0jElHy9ZIV62lye0j3NtAp3c71ubnwpnKtdfbUxKqQlsTnk+lt4HBnZR0wZ3gSvtfsLwOmsfSUC3CbJA4GQlBcDNVKT2y7v503q07irfNu5D0xGrgMOmNBjk86PiAFwKMAUqP8MKkZAOkRi+Kg2Zrqcfm8unOoSTN1UwGpLAo0Wp2ktLckzyE1ANJdHmUO8noyuHvcxR3mcIcFAYvp+IA0JEo4rSpTLIl4zTa2ZJbQvWYnTJkCVmusZFfNp2yTTEiGPrityQBpXJsfKckzjzcFkHbs4NbaU3H5vdRV9aO1pBTzkTrCFgthUaJNPYe85jq9Smimy8LedmV/RbV7oX9/ZFFQgI23gVAkQn5jDftTsjna6ieiSTrT0pBEIelzlx57FO5fwcKTrqDe5uaeTx9XfCWIriWVhgYPy5fj8TlI8bWysaiC7q2Ho4A0HCKkBk50ya4k4lfvuTXgxx7w0Way0OgN6PmXBRfMBLXC8GfdR7Hgy78y7+d3sbU2sbOiinttw5jaO48Dajs1Y7Vpwe3mzqk9+Pv3CogNNrfQpV4B1dvTC3XAKArgl01M3vJdjIT6u+Iqql98k1ldlYrb4ZRU9qdkUdJwkIpdu/m+uIqAZErKkNaHJDrFSHbVgLXPG5UmL1zIzreraUxJJ/PwIRydlHvVarYlzOutZjtd81L4oHIkntZGRu5ek3BMrZ+sdq4AF525kPPWfMjvv/wLcjikM6R/GXc+hy64lLvPHaS3Vqmzp5Iri9x68nzmrHqfOas/ILO1nrAkIarKA3+Bom47e9kbsEw9WEZGQisnORzio27DmWO6I6adzGdjpnPS0r/H/NYISE/YrIo/rVW1tgfa9aJYfx0xkwp7hMGfLo6CUfU8BWEvYUFUJLvqHCRYrdxx+g1c8dVLmMJB7Af38UtqDi3qM5B2bP+3ZEfhX9SHNBKJfBSJRMojkUiXSCRyz79in/+Ttits46nBMwiJErluK26rrPetTGYWs4lrJ5TrIOucQUUIAjHbZKt/H5bt3PnA25y9cDHMnRuzn4gg8sYlSk8yxo4FQBTipFo2GxN7FXDR8E7cP70KIf571RwWCa8vRGTSJNpkC3tPOR2LLPLzbkWulpeamBOQ4bSwrx3GXfw0h//4p2PcIXBZZJ0wTVOBVDAUwZ+tvCjZXQqY2jufWQOL+OMZVVTkKhNzZZ6b8wYXJ+zvwRm9uGpcme4Qd850cMnIaIQtRQXAZw0o1MHob7WSDIcCyp25/NfYC9lxw0K9pUxdZW8yDu7h9LWfI/TqhUNtptzqC/FRl0GKLKl/f4o8draoPWftZomidDsXjeisP4eAZKLWGZ3QgoLI5swSAOYMLWHxpVH5rHZPZFFEEAR9vIRECWtKNIp/7YRyMl0WJEHgs/Ih/DTvGmUHeXlsPNjExoNNlGU5Kc9OdCjKs12cM0i931lZOFOU37hUZ2hEWSbjK2Od60ZvgFUFlTjnXcAveV057MpAEAS9Z6jXbGNx1QTe6jle3ybVnsTJzMiA55/Hma1Uk+vZtytvVU1gX2qOIoNEAcw3nFSOXzYx9Iq/0nb7IqS33qJBXcgbZsyC6QpbyeTJbF76EyfPe5z6zuXsTs3l0aFnE+nUiVsnXM5Tf17CAXcWO+taeTlFYWe3ZHfmitNvVXJm7NFFNSSIfFk6kIum/x6pqIAaVzqv/hhltrrnuZk/plR3EgBO6ZnDhcM7cdPJ3aC0FE46Sf9Oi7Ibq7ICrJ2gMOEtniiAfHrwdF2OrgNS1drPPIt1uYoM/cvSQTz41Mdgt5NveF/d5dEg0ohLn2PW2cmn3FpHmiL9v/pqBt22gDRH1FGJOsMC71WMYseYSTAg2otQe577ulRi9rbSf/9GfRHcbXA0eOgh2LBBv0/JGFLR4SDbbeWopIzvlswchMlKVcT9KVl8XjaYV2ZcBZs3c9MZNzPtvD9FUwAcDmSVIdWkZa3+ICN3raZl4GCw23FaZVYU9dSPt3WoMi6/7tyPg8//jaH33EB+qo1Ws02XhdfbUxRWRbWd6fkEe/UGr5dKtQJwjIO+aBE4HNCnDyZR5FB8YZi0NGzm4wPSkZf8Bf89sXnILRY7R0XlvpU0HKTVnaarDBbNvZv9lym5vG0dgLNmtwdLKMiYHDP9PMpzazHbooGDykp4913l7w7Aidy1nBtOKuel+aM6bCNwz5gLiThdWE2i0uKioAD27SMcDutsUqbLEvPOhOKi+Hed1Y8xvQo6uj1RS0/Havptkt14hlRzuhPkneo5iaJAk1WV7CaRRsYypMrY16pEa2A33iKCiOUE2r6ERBGn2l9bk/gunHA5fzn7elAruYuiQEA2xQJS0YRkWPMDZisBkzmOIfXx9x7jmHyBUndAsBznHqKAlK879dPbexgtaLOzObOEZrOdUBhCatAxbFXmJK9Nue9djqiMZXYOGU4zuyUDO56djSwKyvzQ2ko4HCHD20CNI03pFe1Wx4km2U323K1WHpvVhyG3XMaK4irGXvIs+7TAnENl9gsLWXyLWm/h5psZv0AR620u6a7cp7Y2pXhMKEhADVRYDAypNn9Zgj6sKiD1h8L81+k9uXx0F6bPnayfzuZsJdC16CslhaIxXZnLs1zRcaOlLiGKkJLCBUNLqCzOJCiKhJubKatT2NNtGUW6D6FIdpVzMwIYr8mG6IiOO1kU2JOay5A968g4VK33y/UlCfjU+EI6qFbavqjSUr83WiHb4UASBRpT05FrDuvBrxazPaYYGqjFiCwyd571O5b0GJtwPIA9aVHQ1Nq7H6vzuhKUZL7poqwzDTYXXjVI3GZ14hckmlPS9SBavd2NxSSx25PPjnRlzshqqVfkv5q/VWzwJdXK0yxfrrTEM9i7lYq8+JDLMG9HInw+Lr5ms6Ky+s1mtWKSRJ1Jtvvb9ZoHr556CZs790zcJj0dASWIJUXCUfWLycQn/SeyO6MQczCAbf9e9rmzaFUBqbhj+79l/ij8iwDpv5NFIhG9hyhAit3EgrGlnNW/8BhbxVqhx86NJ3eN2UZjWA83tSuSkyQNngGuWDRXyQeZrUykkgibVEADgNtN50wnt0+pjOl9GG8Os0yLL0hNaha9r36d1lMmk59qY+1eRRqXDJCmqw5rnSMNu71jAA7KYqktqGl2ZbtgOEybWuFUyvptecLl2S6um1BOmt2MIECGw8Ktkyooz1YWNUsSpvi3mnbNWq9Wm1nCrl7DjpETWZ/flVZPBrz6qs4GHmn18V6ngbzw7kpIS6M43U5ALaqS3UGQIre8BIC/9juVC866izY1anbb5ApKs6IOWkWu8rfWv6w4PbrYOCyJTmFIa57sdsEZZxCYcDL+YJg11Q2UZTsxyyK3nNKN587v3+E90IB9PENtNK0PYrE6jl+aNzDm83Hdsrjt5AU8a8inTApIVTu9Tz5Xji3TrxfQAw8DO3m4WA08RAQxYVzazYbnLoq4evfAZ7LwwJ0vceqcR/CZLARCESKCSFtFlIX8plNfQJFmaXbB0BL977eeepu/91CAS6bBgdCcw8a2RAfVIkssnFKZ0HIGolH2RpuLRk32eOAAH1/zBwBMctSJ9MlmtmSozJsjViKZlxo7pizq+Wj3JdVuihl3e1Nz2J6evEhcjTMNl90CjzwCPXrEfKeBBlkS2ZFRyMe3P6L0tVTNaZGRRYHqbGXBr6zZhdC1nKvGlVGTV6K3zWHwYKis1ANnIVHCH8dICXY7WS4LXnWbI5W9cKrjr6oghRnDujD6mT9C164sLhvB2ryu/FjYQ78/JlGk1WzTC/bYfvqRrnXVtI4er5/rVjVHndGjiTij40wWBU7vU8D4iizd+QEYf83f8KVHwWNEEAlkKs6tJgWMka/OnAktLWCzIUsCB91x85vTidUkJX4eZ9VpuQhqEEKTo7aYlf51AEVHD9Ds9rDy+be49PRb+bHnCNI8ilObDOwDeFWGytXWDM1KsKzVCEgnToTTTlP+7gCQRrqUsmBsGV2yXElZPZ9kApX9s5kl2vxhKCyEPXvo9uITyJEwXpOVDKclJkgaccUypDMGl1BW2DFo18eVy4VF/i1FjUSOqtJRW3MDLp9Xzz0LHIMhbbI4cftaMIeT5ZBG34fdKkNq8mqANHmRl/AJFjUKiZIeFDSpAHZ1QQXfjJ+hs30CSoEZ/P4YhlQ2AH5ZEvE6U6I5pOEwot/HvpQsNuQoxYUE83EAqdXKC3MGIJ09kyum/S7mqxaHm/eXb+bpwdN5fOhMwuEIQRWIRux2BCGaa93lqAKuhNxsMpwWdmB4fwoLkSWB2ohMa0MzgVAEj7dJB2zNJaWKuqa0VJHsJgu+WCyc2iuPid2jQT9d0m1Q2+wfewp19pQYkH4opxi/2aIAUjUfV8shtRpySLXxZg36sQfaMbtdvH7xYHJSrNw8sRuSJMLq1Tz9+DuszevGoU5d9WM0pGmANDrP1DrSCIuSoiZQx12Kw4zXZCPc0kLZkWoCsonq1BxdsqvlkMab12TVxwooc/jutDy9ivGyzsq6n4whbRdNeosakyzqLOAVK97CEWjT76EkCNSnpGNuOKrn0reYbTE5lqDMLyZJyZeO/04zI0PaeOZMzjhPITkOZhcyd/rvWTjhcp15bbc5CEciNLmjYLDe5tbXP+0dzmo5SijNABjVuXR/ViH8+KMCRrt2hZKS6G+2bWOVWmU9BpACQXOiD6flPnuTpMt1aDZbIkMa8BG22nA7LNSYkgSwHA4EQTBIdlWG1GxClgT8okRWaz2yt5W9qdk6QyrW1PwHkP5vsca2gA44QHHgLxnZhTHdji+RM9oVo0s5yTBxak5kTZOPQCgcu2gZLNVuVnJzDNGyU+Y9zrKLlbLtJ6obt5slWv1Bbl6yjrDFwuDO6THOfl5K4oKqAUtAZwiPZRq40QFpKEJLhjJBmHN+2/3STBIF0uxmHeA8Mbsvp/XKoyzbeZwtj2/ZLguiEAWkdpOkFzTY7Mrh1HP/xAeLl0JxsQ6Eqo8ok3Wm+vyKPNFFtldBcmfjjMnKwrAmryvbekY7IBkXE4CKnFhnrSAtOmk5kwFSlaG0yiIsWULhFdGiMBrQvWxUlwTG02gamNKcoWT28ryBnDu4iFS7ifljShlVrjjZzSogvWRkZ+6a2j12v7aOAenATh6um1BOaVb0GRoBtzHnKi0O7NnMseMww6mMtTVHAnqUV2sD4jBL+qK+IbszkQULuGHSNfq2U3urk3hmJr1OG4NfzbUxArxrxpcxuWculxqk7CdixuBQdWqOwmzk5GBSZdAmSYSNG7lMdfi2aYA0TloUD8i1/WpAtdhjjwXpkDRnCBRnKP45P39Bfy4fHb02k3rDjHMegCAIpDnM7PJE2SyhqorrJpQzrDSdqec/zHfDJutRaSMrlgCcbDZyUqx6zmlT917YTBKCoIzze07vGTP2AR2gYbcjS0qun9PfhhQOMeSu69idmkvTeXMAdSwLAiNuXAwff6w7XoChkIeoA+KgyUyzILPlcAtXT7me229S2i/5PQpQ6nJkL40Wh+JIJjFZEtmVlsdDM26AK65QPszIwGaSOHACkl1h+nSun3StUvTDbMYvm2hWGTdL0E+jO43p60U+LR+KJAo6m60730OHxhTs8tuV98Dha9MBabvVTp1dVWoYWYQOwEmkrDT6TxIQpb0rFlnEZpJp1xjSxkZ6P/0AAG0qQ2q0sCsxLzFyDIB05rkP8Oj4eTBlisKQHi+HVAXYsiTQbrISsVqxNzWQ4mvRc8+CUtxz1HNIRYUhbU/OkAYNDOmBdCWFpt2t3JvWDgHpibV9CQoSTotyT43znzHwKgqCAkgNDKlfMsWsI6IoxAJSNdc0BsgfD5BefjmlWU4WnVqZEAAIyCaCYfiupDcv9TuVYDhCSK24GrHZkASBBvVd1RhSMTuHTJeFg37DnDJ8OLIo0iyaEb1e9tY0ktLeouetNvXorYDF/Hy9qJHRQrJJTylJOtcYAKnLKutKhcb8Ys449wFkk4TfZFXuY0B51lrBHascrbKr7c8W8JHTXEdpVSl9iuIknH36cLRTOUesLp58OCr3PJqmrJPGd+BvfSbzzt3PKEqVDOWcUmwmvCYLwaYWehzaTl1+J0KipAf1JFFIKE4G4DVZEuY2jYU8kl/CXlWdk3DvBJGwKOmBDLMk8n1xFS/1nczM9Z8zYK+aYWezIYkCDW4FtGltjlrNNn4q7E71tb/T1V8tZpuaaiTxUbfhvNDvNNb2jS1yZAzOGd8JsyyytMsAGm0unVFst9oJhiM0qIC0weokJEq6/F17Vlmt9ZCebtiXxPgLn+Tmm58HkwmGDVO+yDDMw7nRljcN1lj/2aiC0EwD6+12J5sLuiZ8n9SsVixylCF1BNqwBv2ErVZS7Wa2pOUnbiMICAI6IJVDUYZUFgXaBVlvf7MvJZsm47v5H0D6v8Nqm2MrYx3L0f4tpjm9h5raCYYiCeDkjlMruXRU52SbAhDSFvYTBKSdMpz8tOsoy7bUcvPEblTkunWnNs1uSnD0AVId0Wu1m46fXqzloWlSwFA4wpFUZRJy5ud0uN3xbHq/Ak5WwXxZtotHZ/VJuF//jMmSSI7bGgWkZlmfKDccUKpUlqnATmNIdx9RJH6ZTmUyMLKYxr8Bzh9SzJ2ndUfo25eDKZmsze2a8BtAB02aZFczI6hJFhAIq4BUe3ZZbqsO4DpnHLsYiWYnwpAO6pzO3dN6JsjBW1VAmmo36+BSFgUGlni4YnRpwn7izWU1Mb1fAU/M7hvzufE48cfUnoNmFlnCbZXZdFDJrXFaZPxBBZCaZRH1FhERRF6ZfT2/5pQyoiyDgSUeJZhw5Ajs2EGGMzq5pxukrBU5bp44py+dTvB+Gs9Ls62ZxdTlFIEg6KX2ZVGEigo+6aosmNvTVfVEWVnMfjKdFsZXZOnPNZ4hLUp36EEUzfxS8ndVAaSxz3lcRTY3T+ym/3/O4GKqClKiuZIGS7ObOCDZaElVHYCePfVr3ZlewKuX36nnDBtlhAkgwmajyGPn1T6T+LGwBwfPOg9BEHCY5Q5VHrok0uHAJIk6uMhrqiXlQDWv9Z6IpFYj1II3gVSPKp2KnovmvJplUc8h9jnd+INhftnbwLvdx5AyVsk/96fkWvVyAAAgAElEQVQrc1dBU63e8iWZmUQBBIHPh50Gjz4KmzdD587YzBKHVEf47z3G8fSgM1lerOQ9PzF4BgtOU4KKktvFkp7jqLe5CKjsptF5qzfkMEmioDuq+n2dOhUmRCtYB2zKWLX7VUAqigTMVj3SH8MWJGFIm8x2xCxDADEJiAqoEkqLLGE3S3j9QSIFsdJbr8miB4w0k63Jma6O7JArg7+NngWpSvGkZGxPjKlgS09t8XiwtjThbm/Vx0wCQ6quoZLIMavsapVTAYIOJ0/Ovokl97+o/C/JSfOlw4IQq+bpAJCGk0h2Iaq00K5Jl+yqQNMnm2PWblkUaLfaFfYe9BzJmCDVMQDpD1+uhAcf1I8X/+4GJBPBcBRYhiIRAhpDarMjigINZmX86YA0LxePwxwb5Bo1Ss0htWAL+vAfrkMkwhG78g4bFTZaH1KjhQzAwYBHo+drUJq4rSYOqO9Tdb9hrM6vwCSJShuftjYIqj1KhTiGVBRoV5nJ0iN7cfnbCHZPIrVEeS9D4QiBUIRzz/oDv1b0p9aTjSCA2xYdb0ccqewfOFKRkD7xBKABUitSzWEG7t3Ann7D9OsGJciQ1XI04Zhesw1z3NymScl39IumH8TfO01uawzOKRXRZxMSRMbv+FlhvUVRUX9kKOCp5yEl17XVrLSw2XvFdXrbHSND6pPN3DX+Eg7mxqZihQwBPeMYtxj+1nJI220OwuEIR9U5SxsX2rukrXGZrfWIBrBpkkS2ZxQlFE/TAanbrUuRgZjCnJAckJZ1Ue5pm93JtRfdD+eem/CbBLNasZklfY2xBXzYAj4iNjspNhNbrLGByrB6HgKKfF+MRKIMqcmk5FEb7t++lCyaRcNz/Q8g/d9hrf4Q6Q6z7rin2o+zIJ6gOS0yTovM4aZ2/KFwjNMEMGdYJ353SmLJfW0xCKlRXS26ezw7e2AhgVAEl0XWnc0RZZmkO8xM6IBBMzKkyQBrvGkTr0cFsq//VM1mu7IQpJZ2OqHzTGa3TqrgzH4nkGf0T1heqo0mtWm2zSzpz2FvvbKQ56cpi63GQv1jzX7Mskh5jlqgwRMFmPHg6a6pPRRZaJcuzLz1TarTchOYH4gugAVpHff2SsqQqtIYoxP//JwB9MxPoW98FLcDS1XHtfsYDGlHtnBKJZ0yHBSn23XgHgxHWHzZEAo9yXOq4u3BGb2YXHXiCfnxbCAoxbc0s5pEnSGND1osfFeJ/A7pks7iy4Yoi6LHAy4XHgMINd7PoiQBhBMxoyP5h7EX8cadT8eck1mOHSvbM4qYe/79Ss9Wg4miwHMXDGBchfKOahFiq0nilB45jK/I0t/NThkOKnPd+CVTgkx2VV43vGbbMZlwUAJl7y0YTk5KonQp1W6m3hugNq9E+aCqKuZajcyOsdBKfCl/DZDu8uQzc/a9mLIVp8ZulhLAtWZ6RWSHg2A4TJNVcTi1aqkHXRm6g6Wdu7GKpGba30aGVAvuvbRiD2l2EyXpyr59adHI++Fj5BFpLIUsCgproxYZsZkk9rszqbe6WFFUxb2j5+oM0EMjzqV6wqn88YxooOezssFUnzwVUBjhIymK03LUGQUxLb6gHtTQ2StnrPOlAVKbBkidTmRJZKcnX2mZZSz0kgQMPjvoDGQji5gk7zGoPlOzrEh2wxEI5MY6RV5zIkNqDigF3P7eYxwNTyu5kZEO8kLDCDRb7DqbYZVPvMqutk3Y48FdX4Mt6IsypEamW5b1IIosKoEOUzhESnsr8WYEpCZZ5JtR0xh76gjdN2hJ0psxoQ9pcTH/mDE/YTwFYyS70XfHOBcJAgRkcwxD6pNig8miKFAXEmltbIVt23T2KIbpNCnnG58HCCi/V98jgUQwE5RNBEPRKqrhcETPIdUY0taIEuzJ9DYQEkTk7Ey96KFuBQXIkqDPDX2eUPKotffDGDiTkgDjsBGQGhCpDrzjGFINkNapIEkvWNTWZmBI4yW7UYa090GlF2mkKjkglUWBYDhMIBRmeac+3HXVo7SGRWwmCWtcepEsidCtmz5PpNpNeM02KlZ/izkcpHqI0ppIcydEgaT9MuMlu7IosC6nlIPOdDaOiVZbj3+GmvxXm0ckUWHm6u0peiu5oM2uf1edq/hu/fZvApRWNaCs9S0q4PKabciSGAMuN3brrxSKe/VVXrn0jphzsMQxpJpFAamTYDhMnRqM08aFttZoQSVr0I+UEZ2ntfshx/nTOiBVgZsxYPrsgNP1IEwyQHrdjWdBeTn/mHszTRYnDBmS8Bsgds212bDKkp4W4vC34Qi0E7bbSLGZaGwPElTbF15y+m1MuecjQAlChAVBbfuiMKSC2YwsijH7r3F4aJIM51qcWIfl38H+A0jjrHdhKqsWTuDk7opD+K9iSEHJI9UkuyfK+GkyzYhW6v0EGdL+xWmMLM/kwhGddHnkqb3yWLVwAvdP75V0G6NcsiNJsdE0hlQD7U8u28Htcjcunf84Yud/HpD+3zSjJNJulnSnWmP/tInTZpLoluPCZpJ4cEYvvaiMwyLTI98dwzIlMw1QJhs/2gJoNUn0K05j3rDEe5U0h1QdC8YIfN+iNN6/cnjSvMZkVprlpHOGg+55v73n3KjyTJbeMBqrSSLDaSbHbeXO07off8MTsL5FqcwdVpLwebLASKaB3WwPhPGrDpO5g3fKmHOlmVH2ZXQCjxUkOJaVZbvonOEgx21VCjIVFsUcO9n7/k1+95i8TaNpQM34rJ86tx9Te+fr3107oZxXLhpEWJQ4f+Zd7Omp5PpuL6ngzPOUBdd9DCb8eJZmN9Hg9bM3t5OSB11aGnNOxnM7HkMqCILObGjPdFhpBn2KkjNILQZA2tQWVBwDoLxOAaSHXOm6EzK8VHE+9jeoPQYNzon2t5EhdWQrDs32mhZGlGXqc51PMumMVkzhpjjTAES8E2Q1SfhMFgZf8aJe6KPZYsdrshASJd5bMDyGiX67xzh+veEO/f8jag6a1k8ToK7Fp48hHejHrQEBVbI7+PWnFcbW5UKWRL4v7sUZt7yuPzflRsQ+m+U9R/D40LNjryUJq6fJVxXJrvL82rJj71GbyUq6Q/ldjtvKdRPKMamFPX4s7IFvllIXIdxBkZ0Wi8LEaO+m5UQku4YquwARTzrph2JzgINGIOaOVr6XREEvYKKNK6Nt6hNlnWRRwGpSitj98vuTyHFbdZm10cKCGDsPCQKfnTaXA67MhN9pa4QGEICYAI0oCMq5G3JIfbI55jeSINAkmNixt1ZphaFaMoa0xZqY9iLbo/NPcoZUjmE6g+EIQRWoR+xK8KDdH9LB/xF7CrLJpM87Z5z3IA/eqkjiZUnUe4p3/0IpsqVVoXUaFEGCmJiGELIYGVLjXJNMsmvS7/dyyaOqDFBySOvrdZm9BnJsBoa0TQVvfQ5sIYyAFJd7r5kkCkpQRl172gIh2gIhbCZJL5KkWfz647Iqkl1Q3ukjvZQUH63TgCQkrlfab+W4IGCNK50h81/icLeoTxdf1MivM6TR/Wrr0QcVSvE4a/0R/Tf1Lg/eFA9ZrfWEBFG/x75ASA/qtahsrdFP/KVyEHz1FcyezfcjYtuRmQ0BL+P41eY0n00pmFWjMqNH4xjSgOGa5EwjQ2pQIBnNblcCTyog1YIY3XJcfHjB9XD99QAIkowvPlDj8cCWLezurtbi6EDRofeTlUw6Q6rdn99/8SxTNn8LskyKzURze5B6NV+6OjUHvwrydcku4WiVXZUhNQaQvDaHXtQI+A8g/d9mGshK/RcC0myXlcNN7UoO6QkCUi06GfmNDKkgCLw8byDXjC8/4fP7rWyw26a8OEa2LSRKNPTse4yt/mctHpAKgqA0ilZZU22CFUWBT64ZyaY/TOS0XrGO1wdXjojJw0tmWvQ7GSC9boLyTFLtJpZcPpRFp0YZjBtP7qqfW7zpOaSmf/61TXda+OqG0THFlf4ZEwSBH24dF1Mo6L9jb18xjN+fmghu7UkYtPZgNGLfHgjpDpNJTr6QJyxWqmlOrHGB/GeLZ+Wn2vjqhtGkq5JFjSGIsmmJ5xAKJy8GAdHnb0kSGNK+s5miObM/FFXRphbpEQxR3+MxpMeyNJUhfW3iXO685jE9h0s7J6MzYry8ZAwpROXwmmP08MzeXDQiNk1hmprn22yQ7Da1B2hUGdIoIM3Qnar4XrEmw8lowQazJOoOhJSaylXjyqjMdXPX1O7RwhmhMBG7ctxjA1Ix4TgQBdo+k0UHPe9XjOSZgR23zzICwTa1RUqNAZA2twd1B9yXpIALQEgFpPnrVyofRCLKPRYEGtLiiizFOVeaY2QM0CQDpGFzrGQXoDUzNi3DGvDpqQY/3DqOq8aVIan7Omp3ox8hSSERiAJI7f5aZQnfCRY10u5jKM1DxmGluE6TLtlVzikiSTB6tL6pJAp8V9wbgJO2/RCz20m3v82aEZP0/02SGMN8SaKQNI80oagRylCIl9UHRUkPOgqG3qUxkl0xCUMaD0hFAZ9kwhrwx4yLZAypz2TWgZC+vTm6PgliYjDJL5kIhmMZ0oDGDNsVyW5bIApI6xypik+gqqdW53Wjpo9SR0EWBVblV8bsX3PSjQFYBRjH5SIbxm3S4JdBsluSYWd9biltsoX3hGwF8AN+bZ9vvgkYixpFWTZNhl11aDvVqTnYPMmrJGtzmE9tmdauAlKrSaI0M/b9jA9cGXMND6blIKvXpq1jgiCww5OYc9iq5m3Gn0P8PUmQ7IqJgFQbb1phP30/okAwHOFQUal+TG0uawuE9PHTarYhi7EMqZFJj69JYHwnjONXYxR9diehcJjDVhWQqoEKbf8xKof0RIY0XnGIICitE9V0Be3a759exbvzh8X8LGGOUd8XUVCDBB1I3ltNynvQZHGA1aoypKqSRJXfWrZs1uXoi8ZfRovZxp7UXH0uFFCKGkmGPqSC2YRJEvR2VRFZJmQyxxTl+w8g/V9m5dkust2WROnJf8NKMpSWIU1twUSJQQem52+k/DaG9J+xtN8ISLtmuyjLciY42/lJKvj+v2LGXEvNgTRLIi3+WED63zVNguS2mchxW2MYyXMHF7P73slJ8+fmjyll972Tk7bz0YbCsaor/7uYxpbKSQI349UCY7MHFREMR/Bqzy6+eIlqCYuVahpDYTWJVOS6k+b7/lbzqWDZHSfHi5fsAkkZYc2spo4BqdUcdaQEDM5ZRA2mGPL2nP8NQJpqN9Pg9bNbdlJX2Vv/XJMRG89NSsZaaKYC0vljFScnWYVvzR45uw8vzh0QI9ltagvo4EKT7NY4PbqT4bDI5KZYGdRJYbuMz1t7xiZJiOalpqZy3YRyPrxqOKl2s+7UBEJhvSjQrmMAUu24UhzzkUx+vKK4F38ePrvDfRmZcw2QtgfDcY6n8ptkFUUhypDqduCAfm4JbEscIPWp4EJOAkjr7FFnPKIxpGqVXQCvaIING/jyNqV65u60PF3+rFn7nX/g9+Mv5asuA9CGasTWASBVgw5GhrSjgl26xTGktSaHXvUzKtlVxoDv6mthyRJ9U0kUqHWmsS6nlN4Ht8bstsHuRhIEPb2gU4aDzpnRa5MlIcriGyyhqJFq8XJZUZZiC73ogNTAFKLmkL7/Ptx1l3INskl//7VraDdZlJ6HbdFCOMkY0oAc59QCJtl4vMSCZPEMaSgSIWiJ5pBKKiD9QW275FO3NyoztEC3LIqsye/GhHlP6N9pwMNhNgLSRIbUKNnVfKfehalJ34mCNDuvv3oLc//8ObVODyZRQBAE/HHAQi9qFMOQRn9zwJ3Z4Vor/R/27jxekqss/P9zqqqXu9/Z10xmJpNJMluWGbLvJCSQBcIiEBNAhACyKETQgCB8FeGr4IYIougPFfkpqOA3iEBY/CqCCsriAggSEwJkIzOZycxduru+f1SfqlPVVdVV3dXdde/9vF8vmJt7+1ZXV3XXPU89z3mO/kw2vCDixGJT5habMla1ZWa8Ine/9Tp56jlb/O2a6pWgtPPh2aBCQ2dbbUvkqbe8Td5/1rWh3zteqYeWlDGvP+ZTdJTsOuGboyLBNfJEtS4vespr5Su/8OvtfbWk2XLl3s3ejcKHx4Nxy9xiU45XggxpxbGkarx/zLnGZnAqEp0nHfzOX51xmXz99W+R41Oz0mi58r2azpCGA9LQDR0zIG3/PHotFhFvqas3v7n98/bfxo5xleq8gWo0FG25bmITNv036rszG0Q2bZJ61WseZd7UOfbMm/2kxMdOv1j2vfKD/qoL+qmayptD6rSDWKl6iR79mt3JKbEtK/R75jFYTnofrSxzTz+4VZ5e8DzGm87eKh/4p3vl6HxDDmzNtpZmoxkJSDNmSHsR7XDazQsv3SkvvHSnfOYbD4S+v2k2fsBRBtfu3yiv+fOvikgwCKg4lrgLzdD3+qUDkum6I1947eML2aa2EgLSn79hb2zGVETkZVfukhdffoq87x/uFhEviySSHHhacX+sxAtWjpxYlHrFlo/95CXiJrSvz2O+PUDxM6RGIwnTd97ypMQ1hEWMDGnMudZZ47GKLWLGEdPeH8hVM8HgrJ9mYKvGK7LYdOW+wydkv7H2r84im4OMUOfLhID0xjM3y/X7NyWeD2286sgjY9Pyx+ffJLfccIM8+omH5ZhfsnuPHJmclXmnGhpg/f3PXOkPyvT3zXnCVcf2M6T6WqqPv34dC42WqHZAqpf5iONnve3uAWk35mD1Sxc/Uc7/wsflK+tOkZmxqjx0zCt31fNzk0p2G9GGHsZ2O451R4Y0PP9WRPyA9N6ZjbL2uNfszW3PG6zalt9o7MRCU2TPHvn646vyymNb5J9+5ekd16aJNTPyvoM3iIj4N08aG+LnkOsMqd73mmNlXvZF/86ff68pP9n+UbTLrhMJhPXvfH7bATnQbuCitVxvQPrOm8+Rd8bcT7AtFbsWqSuq4yaSEtURkFYTypajc0gbtiPSaol8wcvgztvhDKnrejcq6o0FkePH/e/HLZuy6FREKnUROeJ/L9SxVylpWra0bEesdvngvOXIp/7zfqk6liw0Wl4jn/Z7QcbHvGzmYkv+6ozL5Me+9H9k3/e942hWBs341SLe8f4f42bPI+1qALMiKD5DaszntS25+63Xieu6or6yS+TfP9Nxk0YpJZecsUm+cM+j8thC08uQRgIPnXXTN9gcy/JLdkW8EvK4G4IiXtAo0v4MiBeszS22Qhlu/f6K3lStOUG1xg9XrfevP3qsZ1tKjoxNyTfWBlmwt172PBl75tNClU1mIiB2Xm2bzpCan3HzvH/8tAvlaTcd9B/TaLnyNxc/WR5qWvLb2y/xH3dioSmL1WAOacUKv9fNip9GKyVDapzrH0yvlQdvfZLYd/2XNFuufLfqvT4/Q1rRJbvG52dtTMlu3N+5vcH4Qf84es22VMwUkzalvOtAq1IV86r2rdVb5bcufKZcdPdXZPdD98jznvFG+cqbr/fHjscrdak3FuTjp54ve9/1uzJ7/9HYbet/3fY6pJV2l11V8eaQ6tfsTk2JbanwzaSUscNSRoZ0iB63fZW/rmbmkt12uYy1atZryDDAOyO9NnCKlq6ZWZuyma5X5MyTvAGXPyA1zkVRAakulSwyw671U7K7HHhl1pb/x+rR9pqhlYTBw+HjnR00RYJzpI9nWoCYlS7h0hkCJzLHRXch7fZcYyklu2N+htQO/V1av9q7tszO5usQnERXTByda/idtM19Ci1RYQx2zDvODcvyS6Cij0syXrVFlJI3X3WbyL59cuXp64PsmduSh6a9AUm0m27082xmEyq28ueQRktS9eBsodnyyjpF5O7Z7nNIo8H+WDX/59KcP/itQ5fJr/+fr8q/rt4Wujmis5xJTY1UreqXpYqIyNve5gexHRnSSBXBYn1MHOPYiYjIvn3y8OQqedX1r5KX3vgzIhJ0Oa0ac0h1ZYLruvJofTI2S2GWufpPUatKK/I34p6ZDfKBM6/xj4n3eCUq5rEhkS6798wGZcQ6wPUH5PVIuWr7eR4aD94Pf3LmNfKi579NWq4rCZX+IuIFG/+2oXPaRlzJrqggS6tVapE5kq7uDxAOEBcig+Voye6x+YbMO1WpNRaSM6TtDr0N2+ko2TUH6PoYNoybFkddW/7lnsPySzd5GdBmyw2aPY2Pi215wdi/bj5NPr9tv7zhya8UkfDfPT8gbR/vBWPf9NfRkt1oUOXGzONTSgVz8Cc6r3lPO8dYsiqmNDNuHdLjxvE+Wh1LvE4HGVJdstuSRsv1v28+Jvq5qDmWP8/zkVXr/euVzpDq5zSvoy+987flfz33ktB2whlSIyC14zOk5vUyeu3ymwNZSpqtlvznqpPkw896hXxbd4MXkROLLT9DanbZ1cIZ0khAajxftOlT1fbmjR+bb8h/z2yUex93sXx+W7uBnl+ya3x+NmwI/a7e7zT6Ohi9HqrUgFSJ63YuU6VE5MN7r5AFx5EFpyJHxqZEJif986YDxx+OTYtjWbHTtvQYWYnyu+zaumQ3Ood0yru2NhOWIVtOVvbIdsiUUnLL+d5dr6yZC/0Zr0xOitx1l8httw1q90Kt1/OIXnCjy5mUzQdfdIH8y+uDZRPMeQhZBsxZ+CW7fTSVSRK9oK9UemB2uB2Q1mxLTlrdWQ76wKNzsb+vA9LofJd+zC3qDGl43o6e3/p3r7lS/u1N13TdzlhKye766bpYyssAht6tTvsPWLUaWsqmV2aG0bw2xM0hNf/QmwOp+Ur+agl/LmY72/wz154uf/em6/1g8YH2OnlJc4P1INvs+Fp1gi670S6yfkDaaMkjH/+UvP3iHw2XR0W3nzDQTKpc+Okn7E4855al/GNXcyypTo5Jyw2y/rPjFf95/IFTJENq23Ywn/GOO0Ruv92/SdhxPdNr3bUt1MY6A8mnPEWuu+OD8p3VW+Q/1+/wfq09KGu1XP/8nGi/13V1Xmc5XPj59c+ViHxvOrwMwvsO3iAf2XuFiISzHfWqI3MJXXlFJLQOqYjIPbPBYDXaZVfV4gPSw2NBgP/2S26Vfzx5v7RcN/WmkW1Z8hsX3yy/ceGzQ99vKSv2MxudQ1qLLIfTiumgbql2VtMw74S77B6bb8icU+vIkE7NB1/LSV5Q8dHzrvcDCs0MFPTLbRjZSD0ovmiX95lrhuaQTnhZxYWmiFLy7Ge/RT5+tvd3darm+NuLBqRxwgFpZ9mpztB30AHpZGeVwMaZul+ppKSzZNfv3OoEJbvHjaU14kqytWAOaVCy22q5kcZBKvRYrVax/fNzZM2GYK3NVripkQ6gXcuSqcnOv2uhOaShCpXoPGCdIe0s2fW3ZXTgbTRdOXJisSOQmltsymPt6+Kx6pg4djRDGpTpmvOObUuF9q8WuaFedSyvmdLxBZl3qvL3v/V++feN7QZ6lfCyLyISCkiDQDp9PK1v0EWvhyquZLfNUt7NtlY1fBwq7SWiHquMybGYeeQ6ID0yNiWWFZ/o8TsqWyIt8eaQ6pJdq1oVx1ayaLWft50h9e3ZI8sVAemQ3XT2FpmsOaG1qrKoOpbIZZeJrMq2vEcvei3vMy9uv/ecQ/Kk/b2vQToMVccKDbb9AXZB2VERM0NafFX8SijZzUJnNr/bXrJn9WRV/voVl8hHX3Fx6HFJS9Jc0G6GU+RNg7lGNEMafm+NVe3YJX2iggxp57m+fPc6+dTtl8vm2fAdfKX/cNZq8plXXy7//LqrOn43jx3GnLnVxh/VWkywnDQgipbJZaHL9/TNONtSsmaq7g8+v7nG61SbVKKtMw2hgNS2EjOkQVMjV+YOnivvuCgcZEQFGdJsJbtT9UriObdUcBOs5lj+XLqFZkuecXCr/O2rr+gMSCOD79B+rPbm0fpzSKOXtEhAulgfjw0U9Ld0MKjn8DVarn9+dLmiDqa63cvTP1ZK/PVaNXPAae5PvWLFlp/6/Dmk3gu9dyb42+OvQ6q3nRiQBjdQF21HFhstabnJ3U7NfWxGBsItpWRmrDOjEi3ZrURKdvX4PdpltzMgjWRI5xoy51Sl1lwUecxbumbBcuTLm08LfmnDBpFGQ/76whvleDU5Q+oHpMbNGL1kyHjFEUu1A9KqUbJrBTcmRMKl4vo9r29mmTcabnjRu+WZz36L/98THSW7kYA0ae3alIBUROTzdzxevnDH40XiMqS21xTOLPucU7bfCTiuJFvzP5P+TRlX5haboeug/jquZHdmzls39tE1G/y/DXrepd6EDpTcmKVJzO2LhCs4O5sadc+Q6oDOsb31VY+cWOxIUMwtNuX7U2tl3q7II2PTUrWjTY2CG7vmTV7d5TjpuWfazTEfecwL9My/x3qfFxMCUich6I9K+ixbVkxTI/0zfw5pZCmrdkD6e497itz21J/r+D29xujh+pQ4liUbpztvpuibuUqUtCxLLLOpUcURx1Ky2L4Bq+rBTcOrX/E+v3x/OWIO6ZBN1SvyVy+7KBQQZVFUs50s8iYJzQvu3i3ThZQ+DlM1JuPTr7XtpUn0MghF6mWu2nKkj8N3H/HuNq+drMlUvSKnGF0O73z5xYkZ+5+8arc8Ye9G2dPDEjhJFnRA2r67XNGDki53cKNmx3S33s5LtFJKdrSbc5mfNGVkSKfrFZE+p3KfbATy5l3euAypYyl/npkuLT3h1PwmJ3mMV+L/LKlj3iDuHzedFirRjXrwqFeiuH4qPO+sW4Z0sdnyg9k0SZ2Tk9ZuTmtgZ6lgsFSr2KG5dJtn22vYtSsA7ptZL8enZmQ80kfAtpS/hp2+YRkEpJH33aFDIi9+sch3vyty551eyW7KjTjddVSX7LbcICA9bgSkSnUvQw/mTSm5b3qdSHudQ5FwSV50SaY5x+sOO95eQiYkkvW6fypY71M3rfE7dEYeqwexh43lUObtirhNVyqOm/p3UO9jI1JG99RD22T9+s75jH62o61SDb/H49aYVkrJnApvf96uhvoNXeUAACAASURBVB6z0GwFAcgPfygiInte9aHwUjciIrYtKjoPTcLvYX+Ob0yGtF71yiqbruvPO1bj496aoUZAagYb03VvuQudaTPP69dmt4rMBiW1ZoZU9ZIhjSnZ1dudqDneGquRwKKpvHWQ9fvWac+f1LJkSOcWg+vFsflGqDGkP4c0pmR3et67li1MzxhNjdo3diI3oNyE+cbmdSXcZTey7IuTPofU++/getFoBRnSf3zt4+U7Dz0mz3rPF+TEYlM+evrF8s9b98qj9cn2OqQJTY2MDKmeEmAp7yajvlFx5enr5ZVX7Zad6ybFaZfsioT/5unXFSrZNW4+VIxAOo1+7a3I3FYlnTc/gp95++tWwsfzY6d5XXofmFojD0x1TqHTAevh+qTYSsUu4aePv7fsizeH1F/2pVoV25r3P3tqrO4fhx+s2jDQxqajRoZ0BHaum8w9X7PI7F2aT77yUvmHn83XhMe84CYNJstMXxyKDEivP3OT/Olt58vGmeIbPEVLXlYqPyD94QmxLeUPBsy7tvu2zMR34BPvj9S+Ldmai2V12gbvj8VU+4+QHuwnLUmT5MJT1sj7X3Ce7OlS/m7GAH6GNKErYF5moLIqVLLbmSF1bEs++KIL5KnnbPHv7D8yNhW78Hg3SYGd9k8bT0u9I66b7py+MfjDXXWsYCmZSJWJHowtNLIFpEmleEml9Gn7aqmgnM1sGCRiNlvxfv7B/VfJO37vE6E5ufrnlfZgRmdI/RK86FM7jsi73uWXfTXGxmL3Tw/b9M0FvexLo+UGc0iN7FBaNlEL5k1565KazAyImcnxlsioJWerdBl3uyzfVZ3XRn8wG8myWUYmw9yPhabXvCctwE7KkK6f6Szh8zKkkbUpI5/RuCW9lBJ5bCH8flywnY7Phx5Qf/jTX5OGZXcGo22WUqklu/pt8JpDN8sfn/VEEfGOh6WCeX4tM0M6MSGWpfzO4iLhoEfflNM315IqGkTCN1mVUp3nsZbwd3TdOu/z0KVyTClj2Ze2RdsJBfeO7QVjtuu9nqO15Ln4ftDYCILxhUYrsgZy/PzGmmPL/3fwRhER+eFJO4OmRu0gTn+W9HW0lXANNbcbmkOalCE1S3YjYx1zX4+cWJRmy5XZsapsmK7L5vZ7+sRCU1qWLT8w5vBXQyW78XNI/TWC2/+9drIqf/ETF8o7nn227G839zTHw2aGVH8GQyW7xmu1LCVO+39p9D40o40LVfoc0iMnFuWm937J/961P/YO+cUrX+D/9+uedIZ8+vbLQr9XbV+LD49N+aXCUfqzoJTyu+zqDKlUKl6GtH3eVK1m3GBcWsmevJZe9LBCDSsIOXVD/rsv5kW43kNjj1EbRIa05thy3s7BNKBK6vy30ujS0XsfOS6rJ6qhZiij8v4Xnif/df8xf8CiPxt5byhZlpKLdq3t+jizgZhyig1ITXFNjaKflzNPmpWZL1f8P/C/e+5Nsv7kTfKSnM/V7XP40MQqmUw5ns+54GTZPFuXa/YG5ZsV25Ivb94tf/W818iNV4VLmf0uu81WpvnE/rylaMfGhMFCWnbcUsoPgmuOJeO1YICs3zP+3X3Lju+oa1sxGdL4ea6+dsZpsT4e+xhdhuuX7LYDAnMO6WPzDdn+sx/11sPNMlAyMqTvP+uJ8vC2nfLuz75b5FvfCg04zaxuvWLLW654vlitlvzOh38pZpvdn3cxKUNq65Ld4G9ey9Lzl1uxc2KDfWwPcKOBU8K57izZjZ8mEJ1DOm7OBRURUcpv9KLpz5tz+HBoPtx7n3tItqwaM35VZWpqdNep50m1uSi3fPljMm9X/CyirbwM4kI7QFLj4+IcV4nbm46sxZ36OYh5/5zxyg/Jaz/7+3Lrv/51cob05ptFzj23o+ohyptD2tnUKBSQWiqU2fuJG89O3F6QIQ0C0uh7xon8DdAqtpKP7LtCPrz3CrlpZjZYa7MjQ9re38SSXeNmgnH8kpoamZ/zaABnLmX1w8cWRCQ4b/ppdGm2Ul5350q0ZLdlrkMazpCKeL/jvX5LztkWvoFgTq8wG2Lpwxn9/JjGKnbXaUzbVk/IN+8/1pEZtlTaHNJ2MGxUN9w/uTrUXOik1eOy06jIqtqWnyE9Up/yby6sn6rJA0eDCg+9XI4S7yaa02zKdLuMWyoVse1g2RcxAtK0a9JyQEC6RAwrQ9qLuAWXl5JKj0HDsFVsJYvN9Dv3K4m+q/79I3MdZbl//OPnydZVw18Pd+1kzS/XFjFKigZ0ZzOUIdXVCU5xl/X9W2bka/cdCTW4CNYh7RwE2MYf+E+eer6cccGBwvZFvvY1ecavf1pE0ku0HNuSa/eFlxapOkpali1ffMqtcmNkcFvNW7KbMDcseX/SS3Z1humMTdP+kj4iwQ2XpG6a5v7orI6fIe02gGkfg2bCHFKd7HCVJXOVmtjtksjJmuNncfXA9cRiM1Pnb79kt/0fX9l5lsg/tNfINEryQnNIHVs+eer5IiJy1iv+RN5712/Kwf/onEP1nAu2y8OPLci7PvttueAlfyA7J42Bsh7YRQJSPaA/Uu+8CbvQaHXOvzXoc9rR+TIm6FIq/PpERJxqUkBqZiyVTCyGG7JVbavjfafXDl0192houZRd6yflZGNdWEuJnIiW7MbMIRUJyj4XjYysZXnzCx/duEW+vGm3nH7okFh/F17SwszCzYxVRKmgn0LWtde1E9V6UGKcFJDWaqHlPZLoIMq0aIWzzU67oY+2edsGSRLMIQ2uF/ONVui968/LjK5CoLxmQHOLLak5Qdnroj+HNGPJbui6EHx/IVqya3Ue/2hFQyUmmzvTrorR+/PwMe/zvnayJg8enfe67BrvxWbTlXd86r/kb7/5YKh8N3rDK65Xie4+LxLcyBAJpqQs2vGfFxGRd9x8tuxaHz+HWPvVZ54pf/uNB0PTefT2k5aW0rttHs/ofkSz/hU7qFY5PBZ0Hl8XDUj9DKlXZbH7ge/IL37yXe2NVKRiqWA6QK3W/Xq+TBCQLhHDnEOaV2geyhL8wFT9dRXLPTfzE6+8TP7je4+OejdKwxy8mXdYRUQuPrV7dnEY9CAgaUmaIvklu3Zx7+P3Pu+Q3PUfD8gGozGDvhsdV7VhWUq+O71ejldqcrg+lamBU5x333JQdq2PlMzt2yff2vY9keOLuefkVtvHJO6mk7kOab45pJ3Xut+59aAcnWvIT3/wK8HjM2aGzj9ljdz90GP+f+vsgzl4jLu+hgZ87QypmfGIpQPSsfg5pObg/VdufYPccccz5fU/sOSW87eJ3Z4vfMRYTilbya5+Dd6/llJ++XEjqamRETAcHptOLEetOpY854KT5V2f/bZ8f3qdrN48LdK+VpoDO5MdM+A0pWdIrfC2/V+KCUglZiCbUMUQWkpJKZlYOBH6eVzgrwOX2RPH/ODUe95IBl8peXh8RuYqNfn4rvPlsWpdnpXwt1tn2RYtx98nx/KavMzVJ+Qpz/lV+fqBA2J/7h9CzxHKkI5VZLpeCapFcn5mvf1oH7d6f70YlBJRrXBDr4mJmvzk9UHHUl2y60tZ8z3utcw3wk2N0hru1Bxb5hZbUnUso2Q33BzMP5cJDZ3iGiiJeDdJjq9aI+OPPCwiQXYxtM+RXTK77GrRub/3H/VujmyeqcuDR+e9LrvG+7HRcuXtn/ymiIhsMqYqRT9HcWNZ8ybuVL0zQ9rxOTNcftr6xJ9p0/WK3HBm51JeoWVf7rhDZOPG0M9EwjeTFiKf445g27GMOaRToYA09Lj2NddSqnNZq0pFbMsKvlur+Z+hkudM+kZAukSUOSBd6nXt+m5VmY+xiMiOtRN+MxuE5xqad1jLJGnNyqKYf+z9kt0Cbwqtn6rLzedtC33vzK2z8lNXnSrn7+gsSbeUko+ddqF8ftt+OVYbDzXpyePaffGdur3B8WLqfLQ4eg5vXBAdbmrkDQqff9EOuXpPfIYkmEPaua1r9m6Uf//ekdD30q6P5o+87KORIW1fjyxL+RmeuE2F3lvROaRJz91uBnPteafIaRu2d/zYXAf1S+dcJs6uU+THdxm/XrHlkeMLxuvIEJCq8F1+pcQPSEMZUuPcvvjSnbJ387S867PfFpGYjKT5kozsstlIxN92Qoa02/7G0UFGK0PJrtfUKLzflYQbNeGmRiLjkYA0bn51EJAeleM1s0Q3uh8if3jwevmf8y6XO23vvX1z5P2hG8/oDOmCU/E/M3a76Y9+b0SX8xAJB1/PvWC7XHhKcI3o5RLoz4dMypBmpETJ13fskz992kvlmX/+ThER2bFpVi7bvc5/jGOp8A2plIA0Ggw2W67MN1qZuuyKmGs5W0aXXTf0e36GNMMc0uh79U9/70459Ltvl/1/8yE/iAqXZ4e3FVfJ45fstrf9wKPzUrWDFQqqkQypGcyb84qj78O4m4LRJbqir8v/DK/vHnzmYSkVBP4ve5nI5s2hn4lEM6SRueCRz7tjWf416kh90j/O0WqtoMtuME3A155DqgNbqdX8G37LPUNa7hE4fHHlcWUxqMH2sOiLQ22Jv46Vxmwis26yvzvog6IHvXkDqKzMv0+WbhvRQyYij6pjyU9dtTt2cGxbXpnnI+PenK64DoP98Bv95DyeehBUjckeBwGp6w9In7h/o1xwSvwccKfLOd29YUpeeMkOedz2VamPE/EGGL/w5L3yJy84T0Qk3NTICZcT6sdH2ZaSf2gvJC/j4+3vdZlDunWrSK0me8/eLdcf6MwctIyANG4AOV615bCRIc0yhzT6CDNDmjSH9MJda+WqM4JBaCvlvW0Gc1PG+66hz3lCl90kaT9O6rKbfQ5p/A20scjyJ5ORgDTSJFT+6MfPlUZ7QD07d1SOG+WHnQGpkqO1Cbn/lNNjn1s/RiTIBC1alWBNW+U1NTLXnY2+H83ga//WGXnqOUEn3QzFBx10YKzq/U2/UMp77/z5VT/qrx3pRjLjjq38Luki0iVDamTxjQqLuHmacZ9Bc9qD32W3PQdTnwPd4TpThjRyHo6vWisLY97N6yBDGp9RFTFvYAXnT5da68cem2/I2slqaA59zfjMNYwTbM6tjWbq4xr8rY38/da7px95oloXedvbRP7+7zt+tx9eyW77sxg5zn4w3D5+i5bd0Wwr+neoait51rPfIu+86FkyXwuWZXv1NafL8y/a4Qf50S67Ie05pLVG+4Zfvb5i5pAyAl8iytzIJu/gsGwG0WUXg2cO3qIlMWWhBwGDumljfvKUDiJG+Ecr+gdzolpsQKqzYJWcQbc+/vEZUm+f542S3bTzFaxbGH+cK7Ylr7tujz/ISptraiklt16wXS5sN7AymxqZ13zLv0PeuQ3HUvLjT3uD3P2PX/HPvT8YTnovXHedyH33iayNL2034564AeRY1ZbDJ8wMafzTmIJlX7x/bSsISBcTSnbbv+F/pbMP/7z/IpGPfzz0qJpj+duerMdkSBPWIU2S9vOgy25vJbvVpDmkoeyQyCdPPS/080dPLIb++5JT18lF+08SEZGJxblQyW70s6hfznjKZ1I/RmcmF2wnVHrabLmhdWeTmuPEyVIOH6X3Q/VZsiviVRgcX2z4ZcCtyFx7x8oekEaXJjK3Ef067oaU2alcjzv05Vt/ZruV7JrZuehhd11XGu3XF2RIO68n/rZirmn6WmteQ9ZO1fxrY8ccUuNuyfGFpv/6OzOknTcFowGpfm2hzO/tt4ucemrH7/ZFiTw8PiOLlap/M0/z55DandeoYD+jwbYl/7Fhp7zr8c8T2zg2M2MVecMNe/wKmCAgVZ2N0eIypDogXeZD1GX+8paPMjfcGVTDlmGpEpAuSeaA/dwdq1MeOTqnrJuU6/ZvkoMnpy9L0KvQH2zd5XCEf7U6AtJasZUdE7XOBh1ZVI0SuSillFRtK1Sym5bVVErJ8y7cLpftTi8f80v2Ukt2wz8LNTUy9jWtg7RjKTlRrYs65ZSOxydmLpUSWZPcBdycQxoXnEczpGnBm573qMer/vIvSvyA9JaLd8l1+zf5rye6q5oevP3PSbtFnvCEyOOUP4g25y4nrUNq7vP9k53Xj7SS3cQuu3G/o2IypPX4DGm4y66Sn7/qxXL57R/wv2eWQmoto5zVXMIiuiv6vZY2r1ufmyAgrfiBjGUEpEp5xyf6/kq7kdNTQGrrgLTPkl2lxBWR4/NNv4mNGy2/zDGHNCkgNY+HDkhiM6T6elSxOq5J+hA2LdtrSJTw2s2bV9Hz0HJFmk64+iCtxLcSU1Ghb/iab/G1k7VgGoplhW7wPbYQnqPrN8PqaKDUeTxWT8R/NpWI/Nx1Z8j/enL3xlW9UKLkz/ZfLb/9yx8I1rRt80t2/Qxp5+cmqWFT1bFir/t6mzWzZDcmQ+pYltQanQFplrn6SxlzSJeITG31RyRrt8my8pd9WeKvY6VRSsl1BzbJJbvWyoGts6PenVhjVVve+aPnDGz7oauCf4t9dOX90T/QadmYXujBdN4GKasnqnL1ng1y6OT4GxcVW8lixgypiMgbb+w+QIrrXBkVfRmO7WVMFhqt0GAvbQ6R7ZfQBY/3F7rvcQBjluzGHYuxSjggTQve3n3LQfmdv/1vP9jWr9ks2X3yeTtk3cw2+ejXvt+5nE7MtpsJzY3GKrYcX2iGMqRJXXbN83L5C98jlVYj8ryJLykISKMZ0lZ80BWdQ1rLEJAq5e37oxNr5PALXiwf+Zd7Y3+nZazReSJThjT5+qB/xeyyWzXmIzddN7TubPT9lXajSN/smao7cnSukfg4k56/p8b6LNkVEXFdOb7Q9Jcy8tfubev4nCZkJqOPNRtNmd+vpFTH1IwxR/RG+Lk71sj1BzbJnV/9vsw5Vakn7EclJePZcl1p+Jk9veyOMh4feT0xDZj0lBjzHK+brPlreVYclTpmGqvYsec5rsFf0lxkpURecMnOxOfol6VE5is1eWj7yR0/0y/bVZYsWnZHQyORznMbZI+VLDZirtWRrLlXshv5PDpeVcL7z3qiPPF/vii7XvACsT9yt7e/JY4DikBAir4t9QwpJbtL1ztvHlywtxSExiF6MDzCu6jRgUXRGVIdkOZuamRb8rvPOZT486pjtdchzRaQZpG0DqEpLtiaqNpeQGr2DVD68Z3bOHPrjJy7Y7WsMbIMXeeQdqHj0bWTtVBjGm2s6siCkfFKC3wvP219bCdMy8iQSrXase6qFnfTJVpuqemAbtK4EeLPxZsIN4Qzn+dEtS7h2ZrduuwmZEhjAlIlqrNkNyFLGbfEj20psd/xm/Lzb/xE7O9kzZDq7GfavG79nI/Up+WBiVXyndVb/Js/unlPyxWj62d8IBFHzzGcHa/4gcrjtq+SJ+yJb2AmEnTZVWP9Zki9MvTjCw35zM5DcsoP75P58fASIPp13jOzQbYduT91e0kZ0rimRnGfwaBTud0R1J27Y7Wcu2O13PnVj8pcpSb1lHLlNRNVefixhY6GUa4rRsluZ1VJZ9Yy/Nmr2lbsOV47VfWXe3IsKzSHNGqi5ogcne94Hyb16njS/o2ye4O3BJN+7kHPmVQp11XzJtui7cSW7EbPrb5547oidsx1PzqFx1KqM0OqvGZhP5heKy979e/L32zeLLb1P/7jlzMCUvRtqQek/t1KAlIsMaHMlDucpkZpon8vi55DqgPcoqsyKjlKdrMKlodJn0MaNV515JHji/FzSGOutQe2zsqfveiC8HOnDIaz0BnSN964J7bp0XhkIJrneVpGUxwzIE06XuYhUu31VpMCUl0maGZI79p1rvzuS94sL9y1K/TYIuaQdjQ1ajY7HqtUZ8luLZL1evU1p8kffO47oe/pp69YKrXM1jUC0hNmU6NIMxl9HNNuEunHnKjW5dyX/ZGIiFxiZNt1ya7eNzPoarbc1Pf6YrscdnasKve2w/8PvvjCxMeLBKXDVr8BqbTnkC405S1XPF/+8JzrZf+acBdtHbDd8Nxfl9efv16enrI9M7hLCkjP2DQtuzdMhpbM0swuu2nVBffMbpTZ7dsTf75hui4PP7bQcR1xYzKkdsqc0+ic82rMtUfEu0H16AnvZkLF7p4hFen8m5C0BNpv/+hB/+thrdwQTB/ofD5zFxbsSqY5pPoa5kr8TTr9Lb/LrvLWIU3arhOpdFnuJbuMwNG3pb7sCxlSLAtlyJBG50QOag5pwdecim1lbmqUfZvdg8K4H+mSymqkwY35bzdp2Zks9L2NpOMcLfvM85YLmuIYAWmlYiynE82Qdt50aaWU7IqE50nOV2ry5Yuv7Xhst2OT9pr04D5Lya4SkS9tOUM+c+p58lC7+3S1Fs6YvvSKXfLFn7s69D0dCDi2F7SsmajKjxzaKlGu0YE23NQo/Di9vbimMv7um5OH28zs2Ve/e0S+d/hEMEBuP8lEVd8oSj5oV5/hBYA3nb0l9LtpgoC03y67SlxxpdFypWnZcs+qTR3nV7/vjoxNyWMnp5eJmsFduGQ3+Hrflhn5xCsvi72ZEDQ1Cs7FCy/Z0fG4Zz/7l6T1C7+YuB96vc9oQOWKSMMJN+OJm0Pqr3Wsrxf+MmXBYx1LycZ2UH3Gpmmp2JZUbCVKqdgmcZq+RnR02c1wbQ3mzHd9aF/06Yp7HjMQX7SdjHNIvf9utdzY97eeouw3NRIlbmxfgPDNOccezvEYNTKkJXfFaevkM994cNS7kSrtDt9SwBxSLAslaGoU/SOcltnpxWSPTY26qTmWt+xLo8iS3aAbZZK4jOd4+zWag9Wgy2621522TEwWLX+tyfh9r1f7yJDqgNSS+JLdyLkNZ0jbAWklvkutDkin6uH3XSVm/7ov+9I9Q9qR3YjJkIqIfGf1Fnn5s98kf/0bzxWRI1Ib6941Vj+9fq9/6fVXxz7OHTNLds1lX8L7H8zdTX7OuCmwepBtKSX3HT4h9x0+4S+rYzZKenSukfpe3791Ru5+63Xyb/d56/RmyfbcN73Om3+bkiXMQmdITWlL1nSbq2fuez3mc9pNsOyL9+/db70u9nGLdkWshGoAEZEN7YD0sLEmsEh7Dmk7IJ2PWYdU73+9YrebVIVvBlUix+JzP3ulNFuuVB1Lvnn/Udm22utIm5ohrcZnSLOMs/w5pB2LRRUt+TppfmferoTWI9Wi7/dnPu4k+cJ//1BOWT8p9/7weMfjdSdifQyUEmlG55BKcK7Mz57I0k/+dENAWnJ/8GPnjnoXMrvxzM7SrqXAXxKCDCmWslKU7EYypIWX7Hrb04vIF6ViW7LYaPldNoso2c2WIe38mc42hUt2w/92E6wrmO3xUV0zpJGS3TyBr/82VSpoNFStSqU9HzNtSR/VJUOqA+XoPMm4QKlb0JGpqVGWOaRGdluX+NYy3KjRn6VuSxwppyItUWKJG2lqFH5cWtm31ozJkOpA7b7DwSzbYH6h99+TdUfkSLYBs76plOUydffqLbL3lR+Sf923r/uDUygVF5CG/zu0TmeX93Pisi8Zrxt5pgml3TjZ1M5c/uDIXOj7rhs08woypGaQGWzb/L6dcBPNtpT/mp9zwXZ5zgXbvd9Peb16ukb0EdWYZaSigvdq14f2JW0Oqfk5WbSd0FrJWvT9ftPZW+Wms7fK//6br8d2lfYDUr9kN2YOqbHdIFNKQApk9vVfuHZgay0OWpU5pFgOSlGyG/7vQS37Mhez/EU/dFOjhSKbGsWUv0WlleyGy+HyZkj7a2oUZDETAtJqNCDNvm0d9KjoHNJW/KArlCFtv8fdmGyFiMhY+5hFM/Nx89aKyJBmmkOq56mJSKNd9pfWqCZ4/vZzdQlyHMsLRkVEjleS55D630/ZnLmWpKazy0eMNVCjc0jXTtbkWw8cy3QjR3+Gs86HW3AqBQzElcw1wucmaS1Oke43cszHhrphZ9xPcx3SbtJuIFy4a628/ZPflNM3BUvU2JaSlhsEogsxXXb1zY41k1WZNK6l+jFZb86nnUO/ZDehgVIav0R1wBnS4EZfTIbU+NaCXZFFq/Oak3QNuf3q3eElhNr0dTUo2RVptW9qPTyzVl5z1UvkvcZ29XHQ74GlXo3YDQEpClFP6bZWdrozGiW7WNJ0F9HJyfTHDVBnl92iS3a968z8YnxpZK8qtvKaGjXCA4Z+2P78n/xNjUTC1yN9WLMOSPx1SHscwOihVNKAayyS+c6XIW2XAysJzSGtNsLZgPhtp3fZTSrZPWdb5zrASeXI8c8b+V09Vyy6jdQMqfJLfLOU7JpzSFMfZyn5g4M3yMzcMbnz9EuD5438mt5e3kF+3PMHc5S9n62eqErFtjItxxRkSLPvR78BqVLSsQRJ9LMUXhaltwxp1iA7WIe0v3HTwZNXyT+97vGybrImr/jAv/r74IrrNzNaTOmy+8JLdsrVe4LmTsGyJNmuf9FzOFG1/fVI/ZLdyO9kufE/rDmkaU2NzM/JYlJTo4Tj5NiWODGnthmpwLFUsA7p7EXnyq/+0etFpHMN66CpUffXtJQRkGLFI0OKZeGnf9qrcXrxi0e2Cx0luwXfqNJlYAsFZ0grtrf2Z6PVEksVUxpViQwq4sQNyidqttiWCg120krL4jgZnjtNMIc0ISCNNDPJc7yaCV12K+0OumlzSK2WDkgTMqTtQbBZKv7p2y+Tnes6b9J0G3OnvaTpuvf8WTKkmtltdyxhHdLw87eDgy7H1rGUvOmqF2XYXvjfrOKCExUZIK+ZqMrseEVmxuLPi6lesXJ/xvrtLqpE5LH59HVmw6Wr3Y+5NpbQZTdNdA5pP9ZPhbv4WpZXstt0Ukp2jez77HjwXvTnkGYoqxWRjvN90upx+foPjoqImSEN/06mDGl7P2IqyAuVdl01S27vndkgR2vj/n/Pjlfk+Hwz1NAqC31dNUt2dWM0u1bzj6ffcVyva9p+PMu+AMscXXaxLNTrIq997Uh3oWNdwoKrDnR2ZX4AJbvH5huy0GwVts/BMiYpAWnMj2bH8JFu3AAAIABJREFUqzJdj89AZh2Q+BnSPrvsJg2wo3OD85SSdXTZVUrEtqVeUeJYnUuchDN6esfib3TMjHmBkbnfccGoSIYMacqxe+6F2+UbPzgq99739fAPUjKkllJ+A5N6rXvgpn+v1+Vpot8130Ofv+PKzEGezuZ8/o4r5Snv/Jzc/+i8/7u6KnH1RE3+/9sukDWT3QNtpZRM1JzMz2+p3t/HwXN2zjtPL9nNkyE1u+xmzZBmL9nNy1JKXDfIkMY1NdKvPfp2zZshXTtZk4/95CXy6a8/IL/y8W/INiMg1VUU0WtDlnGW3r9GXJetAqVdV82bni+/8TWhbrhPO2erPOPQ1tw9EjqaGokE2zWWggqaS3n/blvtdZmOm+O9nBCQYsUjQwoUQw8y33jDHjm0fXXh25/wA9JiS3ar7XVIFxqtwgaJ41VblEq/rsQNhG67ZKdct39T7OOyNzVqzyHt8456Yoa0o8tu9m3qctodaydETrlK5MEHRZSSsaotf/biC+S0DVOhx8fOIU0IJm+7dKdcf2BTpqLUfuaQTtYc2bV+Uu7O1GVX+f+/aNvSUFamUk0/Q9rl4EbP0fY14/L2HzlLpurhoFcHBkqJbJrJvozKSau8zNCmmTHZumrcC0jbz/nonDevdPVk1TufGU3WnNg5dtpdr7pUXv/hf5fP//fDmcqAu1GiOpa0iW7WfJ5uN1jshAxp1sB5kGufW8qbQ7pQ8W4O6KVz4kqSo8ckmPeefb/O2DQtf/Ev3xUR8bvvigTN2TpKdnMs+zLgeNQXd7rNDGkjUq47VrHl9I3T0V/pKq6pkd8YrRrczImWxJ+63rsmxnXuXU4ISLHi6Qskc0iB/ugB2dqpmuzbMlP49ifbwcz8YvElu4sNV+YLDEhvOmeL7Fg70REYmOIGQqsmqrJqIj7TlDUTWVRXxqzrkOYJfPdunpH3PveQXLRrrUjlgMjVwXImcXM9w1tuN0RKCFJWT1Rl9URVHjw633U/uh2bLNnoLOuQakp5j29adqZMmn5ElqZGpumxihw8OeY4Gpnabm49/2R5+ZW75F/ueUSu3rOx47n0Jg4f9wLSNQnv1yQTNaejhNa0a/2UbFnlBc1FlM8r1Rl8RT9L5uc+T5fdXeuDGyhZM6T68zM2gN4bSrwKh/8+9YD85nUvkS9u3ePtW8wUgGjCTQdAecdCOsA6w2iuVETJ7qAzgub87qi0Kpxe35Id65CqoKlRbIa0/e+u9V6Vx0PHwsv7LDcEpFjxKmRIgUL43TcHNNdl0u+yW3CGVHfZbbRC63/2Y7pekUt3r0t9TNbjlCeYEOm/ZDe6najoQDpv98fHn7Gh+4P8bRtft9K7/8b9TpLuAWmX/ZKMXXaNQW9D2Z1rlyY9f2Tph26P05KCojxzSC88ZY2sn67LtfvCmXo9kPYzpO3Ou6tzBqSTNUdOLKR/hvudB23yAtLw96KbDXfLTd+eeU5O3xgEpFmD5xvP3CKz41VZM9m9uVVeOvhuWI586NJnyGI7qxbOkHr/RgO+aKloVi+74lTZsXZSbjhzs9z+wa+ISNDsKdpEK8sx8pdVGlKKtNsc0o7H9/ieDJoa6TmhRkAakyHVN6NOSZh2sNwwAseKV2MdUqAQRQVCSXTJ7uIA1iFdaLRkvtEa6o2prAFmsDB6tu1GuzP2KnvJ7mDOt0g42NXrkCaV7PqPy7DdpEAnuhh9mo51SGOXfQn+bdi2NFS2Gx766bsFB9HXkRTA+l12M7yupPPpRI7N4RO9ZUgna073GwL6PVxAa9G4zsLR82t2y83TZbeXZV9mxityw4DWbVftOaQtN7w/5vtEV21Es5WW/57Ldw0cq9ry9INbpWIrfxv6Wt3LJUi/h4tebzpJtzmkWR6fRTPa1EiMdUgrQSVNJdLUKHq9Xa7IkGLFI0MKFMNfqmJAAYru2lv05quOas8hbQ71xlTWgU1aaVmcYA7SoEp2o02X+nqaVHElu92OW5bjmnRspusVefixhUxZ2Cwlu8G5Ezln5zqpP/ztrvsmkmPZl8hrTXpdeeYhJ5UJ60BBb+Pwca+EMG+GVHeSTt2HAjOkcXcoosctVLKbsalR1bESg75RsZT3KWm5riill7RyQ/v5qqt3y1TdkaecFQ6K9Y2+uHV7s1BKSb1iy4nF/B1oTToAS5lmXAidII47bQtpGdJeS3ajTY2UBBUTxlJWfnMp44l+59aDHQ3flpvl/eqADPZvmZHnX7RDHjeAJizASuIPegc0MLMsJXc88XRv/mGBqrZXsjvsDGk0wZYkb5fdaGllr5I60UbnkA5yOYK4DKlEA8GO3+m+3aRjMzPWDkgzbCNLhtTfJ1EyMz0uUu3eYVfEyFZ1C9wiwWNSMJnnpkZSljWaPdYBg7l0SBa3nr9dvn/kROpjirqpIhKfMY8eBrNUv9v1a6Jqyysef6rceOam8HIqJQhIlfIaOLmud57+6mUXy99+88HQeZ+oOfJTV+3u+F1dptpPP42aY0nLdXNl5KN+5ekH5L2f+46ct2M4Y7K4fRxIya6rA/7g2Pglu0ZAGvQACM7DNXuDudzLFQEpVrx6xZY33LBn1LsBLHl6HDPITMGLLjul8G16TY28OaTDbG6WeQ5p+9+sh3XQGdJ6ZYgBqfm1q5sadfmdfjKk7bUAu70mcw1BX1yGVIzMpOOEBp5pggxpvmxw9wxploA0qWQ3fKPjQy++QP7vfz2U+3128andbyjpz0YhXXZjXnNnyW72pkZKKXnV1V5Ad6RdtixSogypK+2g0Gs0ZDYbSqODsLxzSE31ii2uGNM3etjU+um63PHEM3reh7ziTvcgSnb1/TQzQ2q32jex4jKkBZSrLyUEpACAQvhzHQcYoAxC1bFksel12e2n1CyvvCW7WR/vWNmDjzRJmYCOLrsDnUNq/Ieb3mU39ncSJAUPenH6LNtoZFj2JZSZrFQS11Dt+L32v93WS40GbEmvK3gPdX/upDLhoMuu9++h7asHsryTSDB3dFAZ0o6mRkaGNM9zmse727kaDm/Zl2bLzf35X2iGm+70ojND2vOmhibuOA2iy67md9kVEUffxDKuC8Ec0iVw8ApEQAoAKMSgS3YHpeKX7DZluj68P4tZB2t5B3dBhrSXvQokBTedXXb7e540ZkOax2reOofNanp30iy7kzRY1xnS6DIhcVrtBkWPbjpJpr9/r8hLXpK+L6ef7q27moEO+rplSaLBUxEZ0sSmRgW9r7IoustuVFqGNM/72Q4FpLl3rXDe7nhNjfIGpIsNnSHt/YXoDKl/zWp/Al5//R755g+O9rzdQXBdPSe982epJbt9XvD0tBBLKbHd5AxpEdUBSwkBKQCgEHaBg8hh0gOEx+absnV2eB0NB5Yh9bNL/Q1oEoMbS0m9Yslcez3YYWVI3/zkV8pXNp8mR/YdSv2dTGWp0bmXlpJbzj/ZX5rhyPHFuF8L7ZfOkB5bv0mmv3dP+j5ZIvJzP9d1v/zHZwwgo8c+aRDrbybDqUoKgv2S3SGkvfRzDG4Oafi7oQxpjtdXtgypUl7luOu6knd3rt23UX7trm/KLedv6/n5dYbU9rPp3vd//OIdPW9z0OI+Yz911W551nu+kPnxeZglu05MyW6hDb2WkNF/egAAy8Ip6yZlx9oJ2bZ6fNS7koseIBydawylqVGe8knvcflKcHVQ0m/FV9qAyMySDjJAMTd9eGxKfv+iZ4jK0AG3m2jw8Fs3nyNvvHGvX7J75ESj6zb0HNKWnXxvX0UyRVnpl5i1G602yAypDlR7aVSTlz4/hQSksXNIw/+dp8uuKZQhLUF9qqWUuOKGymaz2jw7Jl974zWya/1U9wcnqDm21BzbzxaP/ogk0zUQce+P83eukTtffnHs7/X7nqw4Qclu2hzSbh22l5uV9WoBAAOzbc24fOanL5f10/VR70oueqB9bH5xKMu+3N5uiJJ3wJh1HBSUVvY3cEorvT6wddb/epABirltV7ylEwpZ9iXyGP1SdUD66FyXDKkov8uum2HgmPcQWRnPYfQcJc070w/L8pZIKtl0CgwSu/EbpBWyDmmn6HvEPI55phwopTLfPBgGJV7345Y7nBsHUXs2T8ueTdPBc5cgSE+StuyLSNrNnf6e17yxE58htUKPWykISAEAK5q+Yz23OJxlX1525aly91uvyzzwzbuEgt/hckBddkVE3vf8c+WZh05qP19fT5PK3APX9ebGFTHwj25DH2PdAfbS3evS90uJNNoZUjclQ+o/vpedlO7BdfQcJTY18rv99p8hHUbcFWRIC3hzxexv2mvIm+nUAcQoSyyvP7BJRLxrhNlld9jeeONe+d9PP+AHe0shpErax6TPQb+BfrjLbnuuqhmQ2pTsAgCw4phLvZhzycpCj8kzZ0j1HNI+B05Zs3ODXYc0+Lrlemv5dXu6Xrrs6mN8xqZp+c5bniSXdQlIRYKSXTclaMo7/1drteeydhuUdi77Er8v+ttZdqOSsA3HHvz59p+rwHl0cfubFlTkveFR5Jqp2ux4JdfNsd+6+Zz2TS594yZ/yW6x2h2xl0BMlfReSDp+/Z5ns4w/bQ6pvcJKdmlqBABY0cyB3zAypHnlyW6JBEFJ/xnSbkuOFJOJTWPOvXRd12vWUkTJbqQcznyeLBkQJSLN9vFJnUOqt5vzEDXaAWm3YxvXnCl2P3Jk2aPHJth20B100LKWLGeRpWQ368/iFFUib/qn117V0+8pUdJyXWm1RjunNSiHLW9E6nYJmosu2b38tHXy2W8EXbYt1WUd0hWWISUgBQCsaJVQhrR8Aak//y/jrhWVXer26/aQM6SueFnSbgPtLHuzarya+DxZucqSlihxreSsuj+VLue29bIz3V5r9mVfwv+mSRoI65LdLEvi9Gvwy74kPz53hnQAJZa93hizlP6cdK8kGKTWEijZ7VZWHP3sOZaSRg/ru2rvufWQHF8ImqUpJeLELPsyVa+IbSlZPVGNbmJZK99fXgAAhsgs2S1lhjTnHNKiMjbdns8vVRzgqNPctOuKNFvd58ZlGTCeddKsfPr2y/wmRnkHmfrhTcsSN0OZd97t6+Vnut4UiBk0pz1/X+uQtj8nQ4hHC86Qdm4jLfOc9ymHUSmQlaWUNFuuuD2sQ1okvcZniROkXUVvAPZ7A67qWDJr3AhTSsVmSNdN1eRTr7pMrjpjQ0/Ps1SV7y8vAABDZAahZcyQ9roO6aAHpM5QMqTBtnVmrtvAP+vu7Fw3aWQOe3sNTctOz5Dm3CdNZ5i6vdaODGnC3QH93SwxU1Kptj7fyyFDmnY+8gaWZVp/2bGVNJrtOaQjvJT5S6qUOEfqv4szzhXVlTRFHVdvHdLOpkYiItvXTpTiBscwle8vLwAAQzTdzpKJlDMgDbJb2R5f5BqOaawhZIbMsWKQNewWkGbfnyDrkXO/2gPthmVLy85SspvvCfyS3ZwBaRFzSJOWWtHbbg4hIA0aBfX/eYwv2U0+DnnnXurHlyGAqDqWLDRb0hxxUyO/HHb0h6SrrCW7RU9RUBKfIV2pyveXFwCAIVo1bgak5euyG2S3sg2EdFBd7bFLY9ayZb80eJAZUuPrrGWsubafsxw6+D3v35ayUpd9Cbafb7+aGbvsRn+e2GW3wJLd1hBKdvV7qpisY0zJbsnnkPaqaluy0GhJa8Qlu+NV7zq6aWZprUlt6ljjt+iAVIn84TnXe/9x0UWFbHMpIyQHAKxo5ryeMs4htXIGNadvnJJffvoBuWT32p6e71Ovuky+/eCxro/TA/dBjnvNQDFr59k89KZ6fQ0NyxY3JUOq5Q14s2aDo8ciqSGR/zozPHcl4UaG39RoCBGpv3RRAROU82ZI876/nCFVJGShM6TuiNYh1c48aVZ+7ZlnytV7No5uJ7roluiP3mjTfxuKuvFgKZHPn3xAbnvfP8t7Nm0qZJtLGQEpAGBFm64HfwrLWLKbN1hSSsmPHDqp5+c7afW4nLR6vOvj9IBtkBWccS+9yMyPnSNzGOfO0y+Rkw5eKKcn/FxF/s1KB6TdgpyODGlCABeUV3d/7qSn1IHXMOaQWgVmSOO2kLoOad6S3QEs+9Krim3J0blGCdYhFbnp7K0jff7u0hsvRW9MnLphSl54yU657LTuaxRnocv4l0JZ8zAQkALAEvaOZ58tW1eNjXo3ljRzcFrGDKm/e0MolcxDBz/uAHcsbrBWZImw8gPS3n7/DU94ifz84/ekPIF+nnzbbWZs4JR5Dqn+N8saqwmPcfxlX7puom9Fru2Zd9mXvNNWi2zA1K+aY8nDDa9RTt6s/EqVNL877rP1/It3FPe87c2P+sZBWRCQAsASdsOZm0e9C8tKGeeQ6gFLyeJRfwA+0AxpzGCtyPGbDj7yzyHN9/i8g05dFpt/HdL4aEr1mQkWCUp53SE2NSomQxo3hzSlZLfnDOnob2bpkl3HUiMt2V0K8pbsFn08i/hMLiej//QAAFASZc6QDqNUMo9hBMp55//lZfeZIRVJL8fttSwv8zqkGTOkwfI2+fYjbtvNIaRIB99lt/N7eo5s3gz8MJp7ZRU0NRp9yW7ZdesE3PnWK/Z4qo4vVrby/eUFAGDI9AC4jHNI/cCvXPHocDKkMd8rcq5enu6zJvPRadnSYNmXfDKX7CYsTRHV6+s0VezhzSEtNkMa872Y46DnyPa6DmkRDZj6VXUsWWx6XXbLMKd1KRt8hlRvl/MkQskuAAAyXrHl6HyjpBlSPXevXBGp7Qekg5xDGldu2f33rjhtnTz5rC0Zth/+N/t+ZXxc3l9oa2Ve9sWK/Hd6hrSfoa89hBsQWpGda+PfQ53fq9hKTizmfz/rfS3DHNJKO0M6VnVpltOn6Huv6MAx7/rSy135/vICADBk4zVv7mgZM6R+T6NyxaNDmTOXNbsV9Qc/dq485ezuAWkRmcMsv5p30Nlsn+tuAZk+BV2bAPW43qpJNzVqDqPLbuR1Fb79mM2+5akHZMvsmEzW8uVq9L6WIdNVdbyA1B3xOqRLgW7GlnSUop+Voi93KvLvSkeGFACw4o1XHRGZH0oH0bz04HmQ3Wx74ZfsDvA5YrvsFhik9LqWataH91qy28q4DqnOztUcSxoLTT9ojCpiDukwS3b9DOkQ1yG97sAmue5A/vUgy5QhrTqWzDf1HNJR783SkLnaoeAAn5LdsPLdCgYAYMheesUuERFZN1Ub8Z500gOWVmvEOxJhDaNkN7ZDaoHbLyJDmvqz3jKTWdch1T+vV7wMf7SEV/MzwX0cPB1wDeN9aBeYITXfQ06PNyDS6HPQz7EtSs325pA2WzQ16ibvZavo46kKqFpYTghIAQAr3tMPbpW733qdzIxVRr0rHfR4pVz50SBoWMpddq0esxShQWSGpkZ5YxW9nNPezdOpj4s24xpkl93hLvtihf7th3l6dNBY5HuoTOuQVmxLXFdkodEqRYBcZvpdnLQOadSgmhoRj3oo2QUAoNQGn4nshZ+5Heg6pMnPW4SeS3Zzl/jm+wWvfPS6ro/Tg+SNM3V54Oi8bJypxz+/v8NLYw5pkUGeuQXHUrIgxc4HDJaoGX1koZuyzS02KdnNKuNxKjxDKjQ1MpEhBQCgxC7dvVZERE5eMzHiPYk39JLdAkcuQcluH9vI8rMBDTqVUmJbSk5aPS5f+fknyNnbViU8zvs37XV2qw7Q5cDDmGetB//FdNkNvrYHkSG1SxiQNlqU7Bas6MPZa3XGckWGFACAErv1/JPl2n0bZf1UfPZrVHQwtxxKdvPO4zIfnfqrep5Yvt3Kxba8oHQipTtslm7Cn7/jSn/uapyKreeQDiFDaheYITVeczCHtMgse7u8uASBhQ5IFxot5iZ2Mfo5pPpfzpMIASkAAKWmlCpdMCpiBFmDLNmN+V6hJbsFNDXKYpDbt5XqGrhlycZ4naaTOUPssltohtT4WgePRSYzHUuJpcrR1KhqB+UDJdidUuu27IupYqvi55D6Dc+K3e5SRckuAADILWi2NMCS3ZjRWrEZ0h5Ldo19SJsf6s/cHOCg07FU1+Y/+nX2sx8V3WV3CCW7XddVzcPYhDOAkl2doS6DqrGOcln2qeyyZChtSw0sQ8pp8hCQAgCA3JTfbGlwzxE3WLMLnUOqn2cwo8JhZD/qVVvG2su+JO9H/4GYDnCGUbKrn6voZV+COaR9bzbYpipRQBrKkJZjn0orx9u4YlkDWId0ONUZSwUluwAAIDc/QzrQLrudg7Vi5//1tq2sc0iHUZb3rh89R7asGkt9TDBXtvfnGWbJrl7Gxsz49cp8zXpuaqHvIVuVYv6oSPh4lWSXSi/LYapVbH8OddHPy2nyEJACAIDc9EBqkCW7cYoc/PsluzkD09AypFkeP8Bh56HtqzM8v6efbIzf1GgIp3v9dF1+41lnyRWnr+97W+E5pMVnpaq25Qfro2YGpGTeivNrzzxTTlo1Xug2e22otlwRkAIAgNz8LrtDXh612GVf2tsc0JiwLGNNq4BSVR3MTdWHM3R88llbCtlOKEM6gJLdW87fJuft6H5TYBhoapRdnsvWJaeuK/z5KdkNIyAFAAC5BU2Nhv28g2hqlDNDauTd0kt2y0Efs36OXc2x5U037pXLdhc/OB+k8BxS3WW3uDOza/2U7Fo/Vdj2+lEhQ5qZXj95VIcpWPZlNM9fNgSkAAAgN79kd8gRaZEluzrr188mU7vslmTQGSz70t92nnvh9r73ZdjiMqSjPh+DEsqQkiLNZHQBafHZ+qWsHEXvAABgSQlKdocbkRa77Etv21xqAU2vmeDlwHzFuqnRcj0ONYeS3ayGXdkRVcS87uWEgBQAAOQWNDUarB85tFWuOiNoblPsHNJ2xqyvjXTf/qj5HT3LsTvDZbxoe5kH5jQ1ym+QDcdSn5c2uyEEpAAAILdg2ZfBhqS//PQz5bLTjIC0yJLdnueQ5jPqwJQMqWcQ65CWScU2l31Zpi+yIMOeahC1kj+TcQhIAQBAbgdPXiVTNUdeesWugT+XOWQrtGTX6m2b+Zd9Ga09m6flnG2zsnayNuI9GT7zXOmAbbkGa1VKdpeMoGR3pLtRGjQ1AgAAuc2OV+Vrb7pmKM9lxg9FLvnol+z2sc204KYscc++LTPyFz9x0ah3YyTMkswilr8pMzMgLbL513KkE6Qj77I78ttV5UCGFAAAlJqZwSwyu9V7yW62xzPYHL3YdUiXaURKl93snnaOt87tOdtWjeT56bIbRoYUAACU2sBKdv0sRe/Sfrcsy76sZKEuu8s9QxqaQzrCHVkCLj9tvdz91utG9vxBozFOlAgZUgAAUHKhkt1CA9IeG4uYc0gz/CpDztEJl3vrdUiX5xkxs6I0yyk31eu1Z5kiIAUAAKWmQiW7xW+3j3i0kMdhcMz3TtBld/memdUTVRFZvlng5cKieiKEgBQAAJRa3NIdRbB77LJrSvtVBpvlstxLdkVE1k7qgHQZv8hlQJ+e5fxezIOAFAAAlJqZ5Sp2DmlvAUrWkk/d1Gi5loguBeGSXW/Yu5yDtXVT3tI+y/k1LgdcG8IISAEAQKmZAWORGYUi5nFl6aTLkHN0zPPj+HNIR7U3g7duUgekI94RpKLhWRgBKQAAKDVz0Fbkcha6ZLefOaSU7JZbKENqL/85pOun6yIicmKxNeI9QRqaGoURkAIAgFIzs1yDKNkddNkcY87RMQ99ZQU0NdIZ0gePzo94T5BGvwPJZHsISAEAQKmFMqQFDuAspXraXv54hlHnqMRl15dzELB2ymtq9OAxAtIy82+GcW0QERFn1DsAAACQxsxg1hy7sO16AWn+AaH5K2nZVRqWjF78HNLle142To+JiEijScluv+58+cXywNG5gWybOaRhBKQAAKDUzDHbWLXIgHSw5ZuMNUfPPL2OrbvsjmhnhuC8Havl1decJs84tHXUu7Lk7dsyIyIzA9l2ULK7jN+MORCQAgCAUjMHbeNFBqSW6ilqNLNuab9OFqRc7BXQSMaylLz0il2j3g10ofz56yPekZIgIAUAAKVmDtoqdnHtL67Zu0HqzuDbaTDmHB2zPNdeAU2NsDTotyDvRQ8BKQAAKLVBDdkOnrxaDp68OvfvheeQpjyuh31CsUJddm2yUigHuuyG0WUXAACUWpmb0KR1yaQsb/Riu+wSBWDEhrXk1FJBQAoAAEptqY7Zlup+LyfmKXBWwLIvWBqYXx5GQAoAAEpNj9nKMngzsxpZ9om1BkfHPFeOpbvscj4wWswhDSMgBQAApaYHbfUC1yAtSmqX3aHtBZKY4/1T1k/Kltkxma5XRrdDgAQ3SsjWe2hqBAAASk0HFUWuQdqPzGNI5pCOnHnoL961Vj73s1eObF8Aza/64LaViPSZIVVKPUMp9e9KqZZS6lBROwUAAKDpDOlYpRwBqSlTyS5jztExy6tHuBuAiYZnYf2W7P6biDxVRP5vAfsCAADQqT1oq1XKMdMo6yCSsebomeeAwT/KwmIOaUhfJbuu6/6nCC2LAQDA4OhRRlkypOEyu7RlX+Iej2EKrxnLeUA56GsCb0lPOW41AgAAJPCbGpUkIDWlDSgJREePgT/KiC67YV0zpEqpu0RkY8yPXue67keyPpFS6jYRuU1EZNu2bZl3EAAArGxu+9/SZEjzjiEZc45MkKUGyoN1SMO6BqSu615VxBO5rvseEXmPiMihQ4fcLg8HAAAQEZH5xaaIlDRDmvYzBpsjF6xhy8lAeQSZe96XIpTsAgCAkjvRDkiX2rIvKvIvhi8ojRztfgAm3pdh/S77cpNS6rsicoGIfFQp9fFidgsAAMAzv9gSEZGxknTZNaVlOEh+jJ6fieK2AEpEzx1lDqmn3y67fykif1nQvgAAAHTwM6QlKdkNdW7N9HgGnSNDmholRIY0rHy3GgEAAAyNltd6YqLW1330AmUbRQbZOYyKPvYM/FEmKuarlawsV3YAAIBYN5+7Te6PXrrSAAAToElEQVT94XH5iSt2jXpXOqQmPxlrjpzOTlOyizJRfsnuiHekJAhIAQBAqY1VbXnjjXtHvRu+UMkuA8pSC7rsjnQ3gBDWIQ2jZBcAAGAACIZGj4E/yohrQxgBKQAAQA4q9HVal13mkI6aHvBzDlAmO9dNygU718gZm6ZHvSulQMkuAADAABAEjZ5/w4CTgRKZGavIB247f9S7URpkSAEAAHJQOdd9YdmX0aFkFyg/AlIAAIAcVMLXWR6P0SAeBcqLgBQAAADLEvN4gfIjIAUAAMghvOxLcqjjDmFfkE6fHUp2gfIiIAUAAOhRpjCHWGhk/C67nAOgtAhIAQAAcsga3LiulyNNWxoGgxUce84BUFYEpAAAADmYASaZt3IjQwqUHwEpAADAAOg5pARDoxPMIR3pbgBIQUAKAACQR2gZ0pRIx+14OIbMz5ByFoDSIiAFAADoEdnPcvOXfeE8AaVFQAoAAJBD1tjGZeGXkWPZF6D8CEgBAAB6lBbmuLpkl1hoZNLWiQVQDgSkAAAAOYSCnAzxDvMXR8df9IVTAJQWASkAAEAOxDZLhw5EKdkFyouAFAAAoEdp2U+WfRk91iEFyo+AFAAAIIeswQ1zSEdP3zDgFADlRUAKAADQI4LNkqNkFyg9AlIAAIAczDJdwpxyUx1fACgbAlIAAIABCNYhJRoaFd0RmTMAlBcBKQAAQA6hVV9SSkGZQzp6+tBTsguUFwEpAABADmZoQ5xTbnTZBcqPgBQAAGAAKNgdvaDLLmcBKCsCUgAAgDxU7Jed2jW7ZOdGhwwpUH4EpAAAAFiWdByaNtcXwGgRkAIAAOQQWvaFOKfcVOgfACVEQAoAAJBDOAhN6bLrP4JwaFT0sbcY8QKlxccTAABgAFj2ZfT8OaTcFABKi4AUAAAgB5Z9WTqCOaQj3Q0AKQhIAQAAekScU266mRHnCSgvAlIAAIAcsnZsdfWyL4PcGaQKln3hLABlRUAKAADQo7RAx83wGAwWJbtA+RGQAgAA5EBws3Qoln0BSo+AFAAAIAeV8HWU7rKLUWov+8JdBKC0CEgBAAB6lBbnuBkeg8EK5pCOdj8AJCMgBQAAyIHgZunw55BStAuUFgEpAABAj9ICHZea3ZHzl30hHgVKi4AUAAAgl3zRDdm50aHLLlB+BKQAAAA9yhLoEAyNTtBll5MAlBUBKQAAQA4EmEuHDkQtRrxAafHxBAAAyCFrPMoU0tEjQwqUHwEpAABAj9KXffEiUkKh0SOrDZQXASkAAEAOyohusmTeCIZGJ1iHlJMAlBUBKQAAwABQsjt6+oYB4ShQXgSkAAAAOZjBTXrJrn4M4dCoBBnS0e4HgGQEpAAAADnkDW6IhUZHnyuLiBQoLQJSAACAHhHnlBslu0D5EZACAADkYDYySmtqNFG1vX9rzsD3CfEo2QXKjyskAADAADzr3G1yYrEpz71w+6h3ZcVSMV8BKBcCUgAAgBzMbFta5q1iW3LbpacMfoeQKJhDOtr9AJCMkl0AAIAeEeeUXXsOKScKKC0CUgAAACxL/hxSbh0ApUVACgAAkEPWkl2Mnj49FiNeoLT4eAIAAGBZUkov+8KdA6CsCEgBAAByCAc3BDplpjq+AFA2BKQAAAA9omS33IIuu5wooKwISAEAAHIgtlk6dDabUwaUFwEpAABAjwh0ys3vssuJAkqLgBQAACCHcJddIp2lgJJdoLwISAEAAHKgY+vSEaxDCqCsCEgBAAB6RKBTboqIFCg9AlIAAIAcqP5cOvSpomQXKC8CUgAAgB4R55QbCVKg/AhIAQAAclChrwl1ysxf9oXTBJQWASkAAEAOBDdLhz5XlOwC5UVACgAA0CPinHLTp4fzBJQXASkAAEAuRDdLhur4AkDJEJACAABgWWIOKVB+BKQAAAA5mMENgU65BXNIR7sfAJIRkAIAAGBZ8ueQUrILlBYBKQAAQA6hZV9IkZaaPj+cJqC8CEgBAAByMINQ4pxy0+eHZV+A8iIgBQAAwLJEHAqUHwEpAABADuGS3ZHtBjKgyy5QfgSkAAAAWJ78LrtEpEBZEZACAADkEFr2hVmkpabPFWcJKC8CUgAAgB6ReCs3f9kXzhNQWgSkAAAAOZAVXTp0R2RKdoHyIiAFAADIIVyyizJTHV8AKBsCUgAAgF4R6JRaMIeUEwWUFQEpAAAAliUdiFrEo0BpEZACAAD0iMxbufkZUk4TUFoEpAAAADkQ3Cw93DgAyouAFAAAIAdlRKQEp+Wmzw8lu0B5EZACAAD0iDin3PzMKHcOgNIiIAUAAMiB0GbpCLrsAigrAlIAAIAeKTJvpabPDqcJKC8CUgAAgBzM4IY4p9xsS8kLL9khV5y2ftS7AiCBM+odAAAAAAZBKSWvu27PqHcDQAoypAAAADmYS4hQCgoA/SEgBQAAyIEgFACKQ0AKAADQI8UsUgDoS18BqVLqV5RSX1dKfVUp9ZdKqdmidgwAAKCMVOJ/AADy6jdD+kkR2ee67gER+aaI3NH/LgEAAAAAVoK+AlLXdT/hum6j/Z9fEJGt/e8SAABAiZnLvpAhBYC+FDmH9Pki8rGkHyqlblNKfVEp9cUHH3ywwKcFAAAYDeJRAOhP13VIlVJ3icjGmB+9znXdj7Qf8zoRaYjI+5O247rue0TkPSIihw4dcnvaWwAAgBGjkREAFKdrQOq67lVpP1dKPVdErheRx7uuS6AJAACWNRUq2SU4BYB+dA1I0yilrhWRnxGRy1zXPV7MLgEAAAAAVoJ+55D+lohMicgnlVJfVkq9u4B9AgAAKC2V8DUAIL++MqSu6+4qakcAAACWGip2AaA/RXbZBQAAWPaYNwoAxSEgBQAAyCFcsktwCgD9ICAFAADoEclSAOgPASkAAEAOBKEAUBwCUgAAAADASBCQAgAA5MC8UQAoDgEpAABAjyjfBYD+EJACAADkocwviUgBoB8EpAAAADmQFQWA4hCQAgAA9IjgFAD6Q0AKAACQg0r4GgCQHwEpAAAAAGAkCEgBAAByUEadrqJmFwD6QkAKAAAAABgJAlIAAIAcmEMKAMUhIAUAAMjBrNKlYhcA+kNACgAAAAAYCQJSAACAHJTQ1AgAikJACgAAAAAYCQJSAACAHEiKAkBxCEgBAAB6QGAKAP0jIAUAAAAAjAQBKQAAQA46M0qCFAD6R0AKAADQAzrsAkD/CEgBAAByUORGAaAwBKQAAAA9ICwFgP4RkAIAAORApS4AFIeAFAAAIAcdjxKYAkD/CEgBAAB6wFxSAOgfASkAAEAOdNcFgOIQkAIAAPSCuBQA+kZACgAAkIOK/AsA6B0BKQAAQA5U7AJAcQhIAQAAekBgCgD9IyAFAADIgaZGAFAcAlIAAIAesOwLAPSPgBQAAKAHJEoBoH8EpAAAAACAkSAgBQAAyEkpln0BgCIQkAIAAOSkhOZGAFAEAlIAAAAAwEgQkAIAAOSkFD12AaAIBKQAAAAAgJEgIAUAAMhJ+f8HAOgHASkAAEAPiEcBoH8EpAAAADnRYBcAikFACgAAkJMSxbIvAFAAAlIAAIAeEI8CQP8ISAEAAPIiGAWAQhCQAgAA9ICYFAD6R0AKAACQE8EoABSDgBQAACAnpYSmRgBQAAJSAACAHhCOAkD/CEgBAAByUoSjAFAIAlIAAIAeULELAP0jIAUAAMjJC0aJSAGgXwSkAAAAAICRICAFAADISQkluwBQBAJSAACAnFjyBQCKQUAKAADQA0JSAOgfASkAAEBOlOwCQDEISAEAAAAAI0FACgAAkJcSURTtAkDfCEgBAAAAACNBQAoAAJATc0gBoBgEpAAAADkpRcEuABSBgBQAAAAAMBIEpAAAADkp5WVJAQD9ISAFAAAAAIwEASkAAEBO5EYBoBgEpAAAADkppeiyCwAFICAFAAAAAIwEASkAAEBOrEMKAMUgIAUAAOgBK5ECQP8ISAEAAHIiOwoAxSAgBQAA6AFBKQD0j4AUAAAgNwp2AaAIBKQAAAA5kR0FgGIQkAIAAPRAEZUCQN8ISAEAAHIiFAWAYhCQAgAA9ICgFAD6R0AKAACQk1JCRAoABSAgBQAAAACMBAEpAABAToplXwCgEASkAAAAOSlFl10AKAIBKQAAAABgJAhIAQAAcqKnEQAUg4AUAAAAADASBKQAAAA5KaWEKaQA0D8CUgAAgB7QZxcA+kdACgAAAAAYCQJSAACAnLxlX0a9FwCw9BGQAgAAAABGgoAUAAAgJ7KjAFAMAlIAAIAeKKJSAOgbASkAAEBOdNgF/l97dxdqWVnGAfz/MJOVSlQ0hZ9pMFoWlTGEFQilkVE4QQQGlkQggZZ9QGhBXUQgFFEXFYgVQpaICYlBWdq1faiUppJo6pSlXaTRRWY+Xex1cSbGj33W5rx71+8Hw5z1nn32fgb+nNn/s961DqyGQgoAsKSqqKQAKzCrkFbVF6rqN1V1W1XdUFVHr2owAIB1ZscuwHxzz5B+qbtf292vT3J9ks+tYCYAgLWmiwKsxqxC2t2PbTk8IknPGwcAYDM4Qwow3+65T1BVX0zywSSPJnnr0zzu/CTnJ8nxxx8/92UBAIZxh12A1XjGM6RV9bOquv0Qf/YnSXd/truPS3Jlkguf6nm6+7Lu3tfd+/bs2bO6fwEAwADutAsw3zOeIe3uM5/lc30vyY+SfH7WRAAAa65iyy7AKsy9y+7eLYdnJ7lr3jgAABtAGQVYibnXkF5aVScneTLJ/Uk+Mn8kAID1p5MCzDerkHb3e1c1CADApqjEnl2AFZj7e0gBAABgWxRSAIAlVbnHLsAqKKQAAEtSRgFWQyEFANgGl5ACzKeQAgAsqcpZUoBVUEgBAAAYQiEFAFhSpVL27ALMppACAGyDOgown0IKALAkJ0cBVkMhBQDYBqUUYD6FFAAAgCEUUgCAJVVVylWkALMppAAA26GPAsymkAIALEkXBVgNhRQAYBuUUoD5FFIAgCVVucsuwCoopAAAS1JGAVZDIQUA2AZ32QWYTyEFAFiSMgqwGgopAMA22LYLMJ9CCgCwJDc1AlgNhRQAYEm6KMBqKKQAANvgOlKA+RRSAIBlVdmyC7ACCikAAABDKKQAAEtychRgNXaPHgAAYNOcftKeHH7YrtFjAGw8hRQAYEmffPtJo0cA+J9gyy4AAABDKKQAAAAMoZACAAAwhEIKAADAEAopAAAAQyikAAAADKGQAgAAMIRCCgAAwBAKKQAAAEMopAAAAAyhkAIAADCEQgoAAMAQCikAAABDKKQAAAAMoZACAAAwhEIKAADAEAopAAAAQyikAAAADKGQAgAAMIRCCgAAwBAKKQAAAEMopAAAAAyhkAIAADCEQgoAAMAQCikAAABDKKQAAAAMoZACAAAwhEIKAADAENXdO/+iVY8kuX/HX3g5L0ny19FDwBJklk0kt2wamWUTyS0jvLy79zzTg4YU0k1QVb/q7n2j54BnS2bZRHLLppFZNpHcss5s2QUAAGAIhRQAAIAhFNKndtnoAWBJMssmkls2jcyyieSWteUaUgAAAIZwhhQAAIAhFFIAAACGUEj/S1WdVVV3V9U9VXXx6HkgSarquKr6eVXdWVV3VNVF0/qLq+qnVfX76e8XbfmaS6Yc311V7xg3Pf/vqmpXVd1aVddPx3LLWquqF1bVNVV11/R9901yyzqrqk9M7w9ur6rvV9XzZJZNoZBuUVW7knw9yTuTnJLk/VV1ytipIEnyRJJPdferkpyW5IIpmxcnubG79ya5cTrO9Llzkrw6yVlJvjHlG0a4KMmdW47llnX3tSQ/7u5XJnldFvmVW9ZSVR2T5GNJ9nX3a5LsyiKTMstGUEgP9sYk93T3vd39eJKrkuwfPBOkux/q7lumj/+exZujY7LI5xXTw65I8p7p4/1Jruruf3b3fUnuySLfsKOq6tgk70py+ZZluWVtVdULkpye5FtJ0t2Pd/ffIrest91Jnl9Vu5McnuRPkVk2hEJ6sGOSPLjl+MC0Bmujqk5IcmqSm5O8rLsfShalNclLp4fJMuviq0k+neTJLWtyyzp7RZJHknxn2mp+eVUdEbllTXX3H5N8OckDSR5K8mh33xCZZUMopAerQ6z5vTisjao6MskPkny8ux97uoceYk2W2VFV9e4kD3f3r5/tlxxiTW7ZabuTvCHJN7v71CT/yLTV8SnILUNN14buT3JikqOTHFFV5z7dlxxiTWYZRiE92IEkx205PjaLLQ8wXFU9J4syemV3Xzst/6Wqjpo+f1SSh6d1WWYdvCXJ2VX1hywugXhbVX03cst6O5DkQHffPB1fk0VBlVvW1ZlJ7uvuR7r7X0muTfLmyCwbQiE92C+T7K2qE6vqsCwu+L5u8EyQqqosrme6s7u/suVT1yU5b/r4vCQ/3LJ+TlU9t6pOTLI3yS92al5Iku6+pLuP7e4Tsvh+elN3nxu5ZY1195+TPFhVJ09LZyT5XeSW9fVAktOq6vDp/cIZWdxrQmbZCLtHD7BOuvuJqrowyU+yuEPZt7v7jsFjQbI40/SBJL+tqtumtc8kuTTJ1VX14Sz+Q3pfknT3HVV1dRZvop5IckF3/3vnx4ZDklvW3UeTXDn9cPreJB/K4of4csva6e6bq+qaJLdkkcFbk1yW5MjILBugum0ZBwAAYOfZsgsAAMAQCikAAABDKKQAAAAMoZACAAAwhEIKAADAEAopAAAAQyikAAAADPEfWao+1JMyDjcAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "execution_count": 24,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2021-09-19T01:19:59.334Z",
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